Academic literature on the topic 'Bivariate analysi'

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Journal articles on the topic "Bivariate analysi"

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ŠLEBIR, MIHA. "TOPOVI ALI MASLO? PRIMERJALNA ANALIZA OBRAMBNIH IZDATKOV REPUBLIKE SLOVENIJE." SECURITY FORCES OF THE FUTURE/VARNOSTNE SILE PRIHODNOSTI, VOLUME 2017 ISSUE 19/4 (November 15, 2017): 73–90. http://dx.doi.org/10.33179/bsv.99.svi.11.cmc.19.4.4.

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Povzetek Javnofinančne posledice gospodarske krize so večino držav članic zveze Nato vodile v bistveno zmanjšanje obrambnih izdatkov. Analiza je razkrila, da so v obdobju 2009–2015 obrambni izdatki Republike Slovenije padli najbolj med vsemi zaveznicami, ob tem pa je Slovenijo zaradi naraščajočega deleža izdatkov za osebje začela bremeniti vse bolj neuravnotežena struktura obrambne porabe. V prispevku sem potrdil domnevo o neustreznem kadrovskem obsegu slovenskih oboroženih sil glede na razpoložljive finančne vire. Analizo sem zasnoval na teoretično podkrepljeni premisi o vzročni povezanosti spremenljivk. S pomočjo bivariatne analize sem potrdil visoko pozitivno korelacijo med višino obrambnih izdatkov za osebje in kadrovskim obsegom oboroženih sil ter prek regresijske analize izsledke apliciral na načrtovano stanje slovenskega obrambnega sistema leta 2020. Ob tem sem ugotovil, da je neskladje med finančnimi viri in kadrovskim obsegom implicirano tudi v trenutno veljavnem srednjeročnem obrambnem programu in da doseganje kadrovskih in strukturno-finančnih ciljev ob predvideni stopnji rasti obrambnih izdatkov ni realno uresničljivo. Ključne besede Obrambni izdatki, izdatki za osebje, kadrovski obseg oboroženih sil, Slovenska vojska, bivariatna analiza. Abstract The effects of the financial crisis on public finances have led to significant reductions in defence spending in the majority of NATO member states. As revealed by the analysis of 2009–2015, the largest drop in defence expenditure occurred in the Republic of Slovenia, where a rising share of expenditure devoted to personnel led to an increased imbalance in the allocation of defence resources. In the article, I confirmed the hypothesis on inappropriate personnel strength of the Slovenian Armed Forces with regard to its financial resources. I designed the analysis on a theoretically supported premise about a causal relationship between variables. A bivariate analysis confirmed a strong positive correlation between the level of personnel expenditure and the overall personnel strength. Furthermore, I used a regression analysis to form an estimate on a 2020 desired end-state based on the acquired results. I concluded that the discrepancy between financial resources and the personnel strength is implied in the Medium-Term Defence Programme as well. I therefore assessed the currently valid medium term staff and financial structure goals as realistically unattainable. Key words Defence expenditure, personnel expenditure, armed forces personnel strength, Slovenian Armed Forces, bivariate analysis.
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Karmakar, Bibha, Ida Malkin, and Eugene Kobyliansky. "Inheritance of dermatoglyphic traits in twins: Univariate and bivariate variance decomposition analysis." Anthropologischer Anzeiger 69, no. 2 (March 1, 2012): 221–28. http://dx.doi.org/10.1127/0003-5548/2011/0134.

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Campos-Aranda, Daniel Francisco. "Aplicación de la distribución GVE bivariada en el Análisis de Frecuencias Conjunto de Crecientes." Tecnología y ciencias del agua 13, no. 6 (November 1, 2022): 534–602. http://dx.doi.org/10.24850/j-tyca-13-06-11.

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Las crecientes que ocurren en nuestro país cada año generan daños y ponen en peligro a los embalses, cuyo dimensionamiento hidrológico está basado en el hidrograma de la creciente de diseño. La estimación más simple de tal hidrograma se basa en el análisis de frecuencias conjunto del gasto pico y volumen anuales. En este estudio se ajustó la distribución general de valores extremos bivariada (GVEb), al registro de 55 crecientes anuales en la estación hidrométrica La Cuña, sobre el Río Verde de la Región Hidrológica No. 12-3, México. Este proceso abarca nueve etapas: (1) selección y prueba de los registros anuales; (2) verificación de su aleatoriedad; (3) estimación de las probabilidades empíricas conjuntas; (4) ajuste de la función GVEb a través del método de máxima verosimilitud; (5) validación de la función GVEb; (6) ratificación de las marginales GVE; (7) verificación de las restricciones de probabilidad; (8) estimación de eventos de diseño univariados híbridos, y (9) estimación de eventos de diseño conjuntos y selección del subgrupo crítico. En la etapa 1 se aplica un test simple de la GVE. La etapa 2 se realiza con base en el Test de Wald-Wolfowitz. En la etapa 4 se emplea el algoritmo Complex. Las etapas 5 y 6 utilizan el Test de Kolmogorov–Smirnov. En la etapa 9 se usan las gráficas del periodo de retorno conjunto de tipo AND. Por último, se formulan las conclusiones, las cuales destacan el enfoque de maximización adoptado y las ventajas de aplicar la GVEb.
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DiPasquale, Michael, and Frank Sottile. "Bivariate semialgebraic splines." Journal of Approximation Theory 254 (June 2020): 105392. http://dx.doi.org/10.1016/j.jat.2020.105392.

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Sinčić, Marko, Sanja Bernat Gazibara, Martin Krkač, and Snježana Mihalić Arbanas. "Landslide susceptibility assessment of the City of Karlovac using the bivariate statistical analysis." Rudarsko-geološko-naftni zbornik 38, no. 2 (2022): 149–70. http://dx.doi.org/10.17794/rgn.2022.2.13.

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A preliminary landslide susceptibility analysis on a regional scale of 1:100 000 using bivariate statistics was conducted for the City of Karlovac. The City administration compiled landslide inventory used in the analysis based on recorded landslides from 2014 to 2019 that caused significant damage to buildings or infrastructures. Analyses included 17 geofactors relevant to landslide occurrence and classified them into four groups: geomorphological (elevation, slope gradient, slope orientation, terrain curvature, terrain roughness), geological (lithology-rock type, proximity to geological contacts, proximity to faults), hydrological (proximity to drainage network, proximity to springs, proximity to temporary, permanent and to all streams, topographic wetness) and anthropogenic (proximity to traffic infrastructure, land cover using two classifications). Five scenarios were defined using a different combination of geofactors weighted by the Weights-of-Evidence (WoE) method, resulting in five different landslide susceptibility maps. The best landslide susceptibility map was selected upon the results of a ROC curve analysis, which was used to obtain success and prediction rates of each scenario. The novelty in the presented research is that a limited amount of thematic data and an incomplete landslide inventory map allows for the production of a preliminary landslide susceptibility map for usage in spatial planning. Also, this study provides a discussion regarding the used method, geofactors, defined scenarios and reliability of the results. The final preliminary landslide susceptibility map was derived using ten geofactors, which satisfied the pairwise CI test, and it is classified in four zones: low landslide susceptibility (57.05% of the area), medium landslide susceptibility (20.63% of the area), high landslide susceptibility (13.28% of the area), and very high landslide susceptibility (9.03% of the area), and has a success rate of 94% and a prediction rate of 93% making it a highly accurate source of preliminary information for the study area.
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Costantini, Paolo, and Ferruccio Fontanella. "Shape-Preserving Bivariate Interpolation." SIAM Journal on Numerical Analysis 27, no. 2 (April 1990): 488–506. http://dx.doi.org/10.1137/0727030.

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Neuman, Edward. "On two bivariate elliptic means." Journal of Mathematical Inequalities, no. 2 (2017): 345–54. http://dx.doi.org/10.7153/jmi-11-30.

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Hack, F. J. "On bivariate Birkhoff interpolation." Journal of Approximation Theory 49, no. 1 (January 1987): 18–30. http://dx.doi.org/10.1016/0021-9045(87)90110-9.

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Paskov, Spassimir H. "Singularity of bivariate interpolation." Journal of Approximation Theory 70, no. 1 (July 1992): 50–67. http://dx.doi.org/10.1016/0021-9045(92)90056-t.

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Araghi, Mohammad Ali Fariborzi, and Amir Fallahzadeh. "Semi inherited bivariate interpolation." Analysis in Theory and Applications 27, no. 2 (June 2011): 138–49. http://dx.doi.org/10.1007/s10496-011-0138-z.

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Dissertations / Theses on the topic "Bivariate analysi"

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CAIRO, BEATRICE. "ESTIMATING CARDIORESPIRATORY COUPLING FROM SPONTANEOUS VARIABILITY IN HEALTH AND PATHOLOGY." Doctoral thesis, Università degli Studi di Milano, 2021. http://hdl.handle.net/2434/816612.

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Molteplici meccanismi sono responsabili delle interazioni cardiorespiratorie osservate nell’uomo. L’azione di questi meccanismi risulta in specifici ritmi di variabilità cardiaca (HRV) e ha effetti sulle interazioni tra attività cardiaca e respiratoria. I quattro principali tipi di fenomeni che derivano dalle interazioni tra cuore e sistema respiratorio sono: i) aritmia respiratoria sinusale (RSA); ii) accoppiamento cardioventilatorio; iii) sincronizzazione cardiorespiratoria in fase; iv) sincronizzazione cardiorespiratoria in frequenza. L’obiettivo di questa tesi è la descrizione e quantificazione di diversi aspetti delle interazioni cardiorespiratorie tramite l’utilizzo di una varietà di metodologie derivate dalla letteratura, adattate e ottimizzate per i tipici contesti sperimentali in cui HRV e segnale respiratorio sono comunemente acquisiti. Sei metodi analitici sono stati sfruttati a questo scopo per valutare l’entropia di trasferimento (TE), l’entropia cross-condizionata tramite entropia corretta cross-condizionata normalizzata (NCCCE), la coerenza quadratica (K2), l’accoppiamento cardioventilatorio tramite entropia normalizzata di Shannon (NSE) dell’intervallo temporale tra complesso QRS e inizio di fase inspiratoria o espiratoria, la sincronizzazione in fase tramite un indice di sincronizzazione (SYNC%) e il quoziente pulsazione-respirazione (PRQ). Questi approcci sono stati utilizzati con la finalità di testare gli effetti di uno stimolo simpatico, ovvero stimoli posturali quali l’head-up tilt (TILT) e l’ortostatismo attivo (STAND) sulle interazioni cardiorespiratorie. Gli approcci proposti sono stati testati in tre protocolli: i) atleti amatoriali sottoposti a un allenamento muscolare inspiratorio (IMT) durante clinostatismo supino (REST) e STAND; ii) volontari sani sottoposti a un decondizionamento da allettamento prolungato (HDBR), durante REST e TILT; iii) pazienti affetti da sindrome da tachicardia posturale ortostatica (POTS), durante REST e TILT, in condizione basale e durante approfondimento un anno dopo. I risultati principali della presente tesi di dottorato concernono l’effetto degli stimoli posturali sulle interazioni cardiorespiratorie in soggetti sani e patologici. Infatti, tutti gli indici proposti danno una visione coerente dell’intensità dell’interazione cardiorespiratoria in risposta a uno stimolo ortostatico, in quanto essa diminuisce in tutti i protocolli. Tuttavia, il potere statistico degli indici è differente. TE e K2 appaiono essere particolarmente deboli nell’identificare l’effetto dello stimolo posturale sulle interazioni cardiorespiratorie. NCCCE, NSE, e SYNC% dimostrano una capacità molto maggiore a tale riguardo, mentre PRQ appare troppo intimamente collegata alla frequenza cardiaca, in assenza di cambiamenti significativi della frequenza respiratoria. Per contro, tutti gli indici appaiono deboli nell’identificare gli effetti cronici di IMT e HDBR in una popolazione sana o le conseguenze croniche della gestione clinica in pazienti POTS. La tesi conclude che diversi aspetti delle interazioni cardiorespiratorie possono essere modificati in modo acuto ma gli effetti cronici di un trattamento o intervento a lungo termine sono irrisori sulla magnitudine delle interazioni cardiorespiratorie e/o possono essere confusi con la variabilità intrinseca degli indici. Considerazioni sulle differenze metodologiche e sull’efficacia degli indici proposti suggeriscono che un utilizzo simultaneo di molteplici metodi bivariati è vantaggiosa negli studi cardiorespiratori, in quanto diversi aspetti delle interazioni cardiorespiratorie possono essere valutati contemporaneamente. Questa valutazione simultanea può essere effettuata a un costo computazionale trascurabile e in contesti applicativi in cui il solo segnale ECG è disponibile.
Several mechanisms are responsible for cardiorespiratory interactions observed in humans. The action of these mechanisms results in specific patterns in heart rate variability (HRV) and affects the interaction between heart and respiratory activities. The four main types of phenomena resulting from the interactions between heart and respiratory system are: i) respiratory sinus arrhythmia (RSA); ii) cardioventilatory coupling; iii) cardiorespiratory phase synchronization; iv) cardiorespiratory frequency synchronization. The aim of this thesis is to describe and quantify different aspects of cardiorespiratory interactions employing a variety of methods from literature, adapted and optimized for the usual experimental settings in which HRV and respiratory signal are commonly acquired. Six analytical methods were exploited for this purpose assessing transfer entropy (TE), cross-conditional entropy via normalized corrected cross-conditional entropy (NCCCE), squared coherence (K2), cardioventilatory coupling via normalized Shannon entropy (NSE) of the time interval between QRS complex and inspiratory, or expiratory, onsets, phase synchronization via a synchronization index (SYNC%) and pulse-respiration quotient (PRQ). These approaches were employed with the goal of testing the effects of a sympathetic challenge, namely postural stimuli like head-up tilt (TILT) and active standing (STAND), on cardiorespiratory interactions. The proposed approaches were tested on three protocols: i) amateur athletes undergoing an inspiratory muscle training (IMT) during supine rest (REST) and STAND; ii) healthy volunteers undergoing a prolonged bed rest deconditioning (HDBR), during REST and TILT; iii) patients suffering from postural orthostatic tachycardia syndrome (POTS), during REST and TILT, at baseline and at one-year follow-up. The most important findings of the present doctoral thesis concern the effect of postural stimuli on cardiorespiratory interactions in health and disease. Indeed, all proposed indexes gave a coherent view of cardiorespiratory interaction strength in response to the orthostatic challenge, as it decreased in all protocols. However, the statistical power of the indexes was different. TE and K2 appeared to be particularly weak in detecting the effect of postural challenge on cardiorespiratory interactions. NCCCE, NSE and SYNC% exhibited much stronger ability in this regard, while PRQ seemed too closely related to heart rate, in presence of no significant modification of the respiratory rate. Conversely, all indexes appeared to be weak in detecting the chronic effects of IMT and HDBR on a healthy population and the long-term consequences of the clinical management in POTS patients. The thesis concludes that the different aspects of cardiorespiratory interactions can be modified acutely but the chronic effects of a long-term treatment or intervention on the magnitude of cardiorespiratory interactions are negligible and/or could be confused with the variability of markers. Considerations about the methodological dissimilarities and differences in effectiveness of the proposed indexes suggest that the simultaneous exploitation of all bivariate methodologies in cardiorespiratory studies is advantageous, as different aspects of cardiorespiratory interactions can be evaluated concurrently. This simultaneous evaluation can be carried out with a relatively negligible computational cost and in applicative contexts when only an ECG signal is available.
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Crampton, James Scutts. "Palaeobiology of cretaceous inoceramid bivalves." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308302.

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Fan, Juanjuan. "Dependency estimation over a finite bivariate failure time region /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/9548.

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Caruso, Elise M. "A Simulation Analysis of Bivariate Availability Models." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/34153.

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Equipment behavior is often discussed in terms of age and use. For example, an automobile is frequently referred to 3 years old with 30,000 miles. Bivariate failure modeling provides a framework for studying system behavior as a function of two variables. This is meaningful when studying the reliability/availability of systems and equipment. This thesis extends work done in the area of bivariate failure modeling. Four bivariate failure models are selected for analysis. The study includes exploration of bivariate random number generation. The random data is utilized in estimating the bivariate renewal function and bivariate availability function. The two measures provide insight on system behavior characterized by multiple variables. A method for generating bivariate failure and repair data is developed for each model. Of the four models, two represent correlated random variables; the other two, stochastic functionally dependent variables. Also, methods of estimating the bivariate renewals function and bivariate availability function are constructed. The bivariate failure and repair data from the four failure models is incorporated into the estimation processes to study various failure scenarios.
Master of Science
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Koen, Marthinus Christoffel. "The analysis of some bivariate astronomical time series." Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/17341.

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Bibliography: pages 75-76.
In the first part of the thesis, a linear time domain transfer function is fitted to satellite observations of a variable galaxy, NGC5548. The transfer functions relate an input series (ultraviolet continuum flux) to an output series (emission line flux). The methodology for fitting transfer function is briefly described. The autocorrelation structure of the observations of NGC5548 in different electromagnetic spectral bands is investigated, and appropriate univariate autoregressive moving average models given. The results of extensive transfer function fitting using respectively the λ1337 and λ1350 continuum variations as input series, are presented. There is little evidence for a dead time in the response of the emission line variations which are presumed driven by the continuum. Part 2 of the thesis is devoted to the estimation of the lag between two irregularly spaced astronomical time series. Lag estimation methods which have been used in the astronomy literature are reviewed. Some problems are pointed out, particularly the influence of autocorrelation and non-stationarity of the series. If the two series can be modelled as random walks, both these problems can be dealt with efficiently. Maximum likelihood estimation of the random walk and measurement error variances, as well as the lag between the two series, is discussed. Large-sample properties of the estimators are derived. An efficient computational procedure for the likelihood which exploits the sparseness of the covariance matrix, is briefly described. Results are derived for two example data sets: the variations in the two gravitationally lensed images of a quasar, and brightness changes of the active galaxy NGC3783 in two different wavelengths. The thesis is concluded with a brief consideration of other analysis methods which appear interesting.
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Haug, Mark. "Nonparametric density estimation for univariate and bivariate distributions with applications in discriminant analysis for the bivariate case." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9916.

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Heise, Mark A. "Optimal designs for a bivariate logistic regression model." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/38538.

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In drug-testing experiments the primary responses of interest are efficacy and toxicity. These can be modeled as a bivariate quantal response using the Gumbel model for bivariate logistic regression. D-optimal and Q-optimal experimental designs are developed for this model The Q-optimal design minimizes the average asymptotic prediction variance of p(l,O;d), the probability of efficacy without toxicity at dose d, over a desired range of doses. In addition, a new optimality criterion, T -optimality, is developed which minimizes the asymptotic variance of the estimate of the therapeutic index. Most experimenters will be less familiar with the Gumbel bivariate logistic regression model than with the univariate logistic regression models which comprise its marginals. Therefore, the optimal designs based on the Gumbel model are evaluated based on univariate logistic regression D-efficiencies; conversely, designs derived from the univariate logistic regression model are evaluated with respect to the Gumbel optimality criteria. Further practical considerations motivate an exploration of designs providing a maximum compromise between the three Gumbel-based criteria D, Q and T. Finally, 5-point designs which can be generated by fitted equations are proposed as a practical option for experimental use.
Ph. D.
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Blatchford, Patrick Judson. "Monitoring bivariate endpoints in group sequential clinical trials /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Biostatistics) -- University of Colorado Denver, 2007.
Typescript. Includes bibliographical references (leaves 104-106). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Wang, Chunnan. "Analysis of a new bivariate distribution in reliability theory." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284128.

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Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model in which the exponential residual lifetime of one component depends on the working status of another component. We define and study an extension of the Freund distribution in this dissertation. In the first chapter we define some basic concepts that are needed for later developments. We give the definition of the multivariate conditional hazard rate functions of a nonnegative absolutely continuous random vector and study a characterization of these functions in Section 1.1. Then we study some notions of aging: an increasing failure rate (IFR) distribution, a decreasing failure rate (DFR) distribution, an increasing failure rate average (IFRA) distribution, and a decreasing failure rate average (DFRA) distribution in Section 1.2. In Section 1.3 we study two concepts of multivariate dependence: association and positive quadrant dependence. In Chapter 2 we construct a shock model and the new bivariate distribution is the joint distribution of the resulting lifetimes. We explicitly compute the density function, survival function, moment generating function, marginal density functions and marginal survival functions. Also in this chapter, we study the correlation coefficient and other senses of positive dependence of the two random variables of the new bivariate distribution. Then we extend the new distribution to multivariate case. In Chapter 3 we study some aging properties. We obtain two results about the new distribution in n dimensions. The first result says that the marginal distributions of the new multivariate distribution have decreasing failure rate if the conditional hazard rates are decreasing and bounded above by 1. The second one concerns an (n-1 )-out-of-n system such that the joint distribution of the lifetimes of each component is the new distribution in n dimensions. It gives conditions on the parameters under which the system has an IFRA distribution. In Chapter 4 we develop some estimation procedure for the parameters a and b of the new bivariate distribution. We apply the method of moments and the maximum likelihood principle to estimate the parameters. We prove that the method of moments estimator is a consistent asymptotically normal estimator. Then we use Mathematica to run simulation and compare the method of moments estimator with the maximum likelihood estimator. We also compute the 95% confidence interval for a and b from the method of moments estimator. In the last chapter we study a stochastic ordering problem. We have two nonnegative n dimensional random vectors X and Y. We assume that X and Y have the same conditional hazard rates up to a certain level. We give a condition under which the two vectors X and Y are stochastically ordered.
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Lavorenti, Norberto A. "Fitting models in a bivariate analaysis of intercropping." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266039.

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Books on the topic "Bivariate analysi"

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Coulter, Lisa Osterman. The application of piecewise smooth bivariate interpolation to multiphase tabular equation of states. Stony Brook, N. Y: University of Stony Brook, Dept. of Applied Mathematics and Statistics, 1992.

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D, Lai C., ed. Continuous bivariate distributions, emphasising applications. Adelaide, South Australia: Rumsby Scientific Publishing, 1990.

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Haung, Xin. Statistics of bivariate extreme values. Amsterdam: Thesis Publishers, 1992.

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Chandra, Krishnendu. Survival Analysis using Bivariate Archimedean Copulas. [New York, N.Y.?]: [publisher not identified], 2015.

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Lewis, Peter A. W. Interactive analysis of gappy bivariate time series using AGSS. Monterey, Calif: Naval Postgraduate School, 1992.

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Dewald, Lee Samuel. A bivariate first order autoregressive time series model in exponential variables (BEAR (1)). Monterey, Calif: Naval Postgraduate School, 1986.

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Alternative Parametrisierungen bei korrelierten bivariaten binären Responsevariablen. Frankfurt am Main: P. Lang, 1997.

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Applied statistics: From bivariate through multivariate techniques. Los Angeles: SAGE Publications, 2008.

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Applied statistics: From bivariate through multivariate techniques. 2nd ed. Thousand Oaks: SAGE Publications, 2013.

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Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119465775.

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Book chapters on the topic "Bivariate analysi"

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Sandilands, Debra. "Bivariate Analysis." In Encyclopedia of Quality of Life and Well-Being Research, 416–18. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_222.

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Völkl, Kerstin, and Christoph Korb. "Bivariate Analysen." In Deskriptive Statistik, 129–253. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-10675-1_4.

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Chatfield, Chris, and Haipeng Xing. "Bivariate Processes." In The Analysis of Time Series, 199–215. Seventh edition. | Boca Raton, Florida : CRC Press, [2019] |: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781351259446-8.

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Hassouna, Ahmed. "Bivariate Statistical Analysis." In Statistics for Clinicians, 87–246. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20758-7_2.

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Cleff, Thomas. "Bivariate Association." In Exploratory Data Analysis in Business and Economics, 61–113. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01517-0_4.

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Islam, M. Ataharul, and Rafiqul I. Chowdhury. "Models for Bivariate Count Data: Bivariate Poisson Distribution." In Analysis of Repeated Measures Data, 97–124. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3794-8_8.

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Islam, M. Ataharul, and Rafiqul I. Chowdhury. "Bivariate Exponential Model." In Analysis of Repeated Measures Data, 139–49. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3794-8_10.

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Islam, M. Ataharul, and Rafiqul I. Chowdhury. "Bivariate Geometric Model." In Analysis of Repeated Measures Data, 87–95. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3794-8_7.

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Cleff, Thomas. "Bivariate Association." In Applied Statistics and Multivariate Data Analysis for Business and Economics, 71–129. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17767-6_4.

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Zerom, Dawit, and Zvi Drezner. "A Bivariate Exponential Distribution." In Contributions to Location Analysis, 343–65. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19111-5_14.

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Conference papers on the topic "Bivariate analysi"

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Cătinaş, Teodora, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "A Modified Version of Bivariate Shepard-Lidstone Operator." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790084.

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López, Alberto, Pilar Vélez, Cristina Moriano, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Bivariate Chebyshev Expansion of the Pacejka's Tyre Model." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790148.

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Filus, Jerzy K., and Lidia Z. Filus. "Bivariate probability distributions, a universal form." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044066.

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Jian-Feng Zhou and Yong Liu. "Characteristics of bivariate biorthogonal wavelet packets." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635841.

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Vanem, Erik. "Bivariate Regional Frequency Analysis of Sea State Conditions." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-61988.

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Abstract This paper presents a bivariate regional frequency analysis applied to data of extreme significant wave heights and concurrent wave period over an area in the North Atlantic Ocean. It extends previous regional frequency analysis on significant wave height to the bivariate case where the joint distribution of significant wave height and zero up-crossing wave period are analysed. This is believed to be an important extension, as the joint distribution is typically needed for marine design and other ocean engineering applications. The analysis presented in this paper is based on a bivariate index-wave/period approach and assumes a common regional growth curve within homogeneous regions of the overall area. One of the main benefits of performing a regional frequency analysis as opposed to at-site analysis based on data from one location only is that more accurate predictions of extreme conditions can be obtained, due to the increased number of observations that will effectively be available. Moreover, results for locations within the regions where no observations are available can be obtained by interpolation of the index wave/period and utilizing the regional growth curve. This paper outlines the various steps and modelling choices involved in a bivariate regional frequency analysis and presents the results of such an analysis applied to 30 years of data covering the North Atlantic Ocean. Moreover, it is shown how environmental contours can be constructed based on the outcome of the bivariate RFA, corresponding to one particular definition of a bivariate return period.
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Mainar, E., J. M. Peña, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Optimal Stability of Bivariate Tensor Product Bases." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241639.

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Chen, Chin-Yun, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Application of Peano Kernels Theorem to Bivariate Product Cubature." In Numerical Analysis and Applied Mathematics. AIP, 2007. http://dx.doi.org/10.1063/1.2790088.

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Jian-Guo Shen and De-You Yuan. "The properties of biorthogonal bivariate wavelet packets." In 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4421709.

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Hui Luo, Cai-Xia Deng, and Jian-Li Zhu. "An method of constructing bivariate Box-spline." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635837.

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Panario, Daniel, Bruce Richmond, and Benjamin Young. "Bivariate Asymptotics for Striped Plane Partitions." In 2010 Proceedings of the Seventh Workshop on Analytic Algorithmics and Combinatorics (ANALCO). Philadelphia, PA: Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611973006.3.

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Reports on the topic "Bivariate analysi"

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Schumaker, Larry L. Analysis of Bivariate and Trivariate Macro-Elements for Surface Fitting. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada413753.

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Wienke, Andreas, Kaare Christensen, Axel Skytthe, and Anatoli I. Yashin. Genetic analysis of cause of death in a bivariate lifetime model with dependent competing risks. Rostock: Max Planck Institute for Demographic Research, February 2002. http://dx.doi.org/10.4054/mpidr-wp-2002-013.

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Stark, Sasha, Heather Wardle, and Isabel Burdett. Examining lottery play and risk among young people in Great Britain. GREO, April 2021. http://dx.doi.org/10.33684/2021.002.

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Purpose & Significance: Despite the popularity of lottery and scratchcards and some evidence of gambling problems among players, limited research focuses on the risks of lottery and scratchcard play and predictors of problems, especially among young people. The purpose of this project is to examine whether lottery and scratchcard participation is related to gambling problems among 16-24 year olds in Great Britain and whether general and mental health and gambling behaviours explain this relationship. Methodology: Samples of 16-24 year olds were pooled from the 2012, 2015, and 2016 Gambling in England and Scotland: Combined Data from the Health Survey for England and the Scottish Health Survey (n=3,454). Bivariate analyses and Firth method logistic regression were used to examine the relationship between past-year lottery and scratchcard participation and gambling problems, assessing the attenuating role of mental wellbeing, mental health disorders, self-assessed general health, and playing other games in past year. Results: There is a significant association between scratchcard play and gambling problems. The association somewhat attenuated but remained significant after taking into account wellbeing, mental health disorders, general health, and engagement in other gambling activities. Findings also show that gambling problems are further predicted by age (20-24 years), gender (male), lower wellbeing, and playing any other gambling games. Implications: Results are valuable for informing youth-focused education, decisions around the legal age for National Lottery products, and the development of safer gambling initiatives for high risk groups and behaviours, such as scratchcard play.
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Reintroducing DMPA to the Philippine Family Planning Program: A longitudinal study of continuing users and drop-outs. Population Council, 1996. http://dx.doi.org/10.31899/rh1996.1017.

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In 1994, the Population Council, Manila, conducted an operations research (OR) project entitled “DMPA Monitoring and Follow-up Studies.” The activity was undertaken to provide accurate and timely support to the DMPA Reintroduction Program of the Department of Health. Commonly known as Depo-Provera, DMPA stands for Depo-Medroxy Progesterone Acetate, an extremely effective injectable contraceptive given every three months. This report focuses on the survey component of these studies which aims to comprehensively examine the influence on DMPA use of factors classified into the following eight major areas: socioeconomic and demographic characteristics; reproductive history; contraceptive history; adoption of DMPA; quality of care related to DMPA; the respondent's experience with DMPA; husband-wife communication regarding family size and family planning practice; and attitudes towards DMPA held by relatives and peers. Findings are taken from bivariate and multivariate analyses of 812 women randomly selected from DMPA acceptors in nine of the ten local government units covered by the first phase of the program. These acceptors were surveyed first in February and then again in June-July 1995 to document DMPA experience and perceptions since the first DMPA injection.
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