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Relevant bibliographies by topics / Neyman-Scott

Academic literature on the topic 'Neyman-Scott'

Author: Grafiati

Published: 10 December 2022

Last updated: 21 February 2023

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Journal articles on the topic "Neyman-Scott"

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Kim, Nam Hee, and Yongku Kim. "A statistical inference for Neyman-Scott Rectangular Pulse model." Korean Journal of Applied Statistics 29, no. 5 (August 31, 2016): 887–96. http://dx.doi.org/10.5351/kjas.2016.29.5.887.

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Brillinger, David R. "Synthetic plots: some history and examples." São Paulo Journal of Mathematical Sciences 8, no. 2 (December 12, 2014): 157. http://dx.doi.org/10.11606/issn.2316-9028.v8i2p157-168.

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Jerzy Neyman and Elizabeth Scott developed the idea of synthetic plots. These plots are a display of the data values of an experiment side by side with a display of simulated data values, with the simulation-based on a considered stochastic model. The Neyman and Scott work concerned the distribution of galaxies on the celestial sphere. A review of their wo is presented here followed by personal examples from hydrology, neuroscience, and animal motion.

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Jeong, Chang-Sam. "Study of Direct Parameter Estimation for Neyman-Scott Rectangular Pulse Model." Journal of Korea Water Resources Association 42, no. 11 (November 30, 2009): 1017–28. http://dx.doi.org/10.3741/jkwra.2009.42.11.1017.

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Brand, Michael. "MML Is Not Consistent for Neyman-Scott." IEEE Transactions on Information Theory 66, no. 4 (April 2020): 2533–48. http://dx.doi.org/10.1109/tit.2019.2943464.

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JALILIAN, ABDOLLAH H., and MOHAMMAD Q. VAHIDI-ASL. "Residual Analysis for Inhomogeneous Neyman-Scott Processes." Scandinavian Journal of Statistics 38, no. 4 (May 13, 2011): 617–30. http://dx.doi.org/10.1111/j.1467-9469.2011.00731.x.

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SMALL, CHRISTOPHER G., and D. J. MURDOCH. "Nonparametric Neyman-Scott problems: Telescoping product methods." Biometrika 80, no. 4 (1993): 763–79. http://dx.doi.org/10.1093/biomet/80.4.763.

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Alcocer Yamanaka, Víctor Hugo, and Velitchko G. Tzatchkov. "Neyman-Scott-based water distribution network modelling." Ingeniería e Investigación 32, no. 3 (September 1, 2012): 32–36. http://dx.doi.org/10.15446/ing.investig.v32n3.35937.

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Residential water demand is one of the most difficult parameters to determine when modelling drinking water distribution networks. It has been proven to be a stochastic process which can be characterised as a series of rectangular pulses having set intensity, duration and frequency. Such parameters can be determined using stochastic models such as the Neyman-Scott rectangular pulse model (NSRPM). NSRPM is based on resolving a non-linear optimisation problem involving theoretical moments of the synthetic demand series (equiprobable) and of the observed moments (field measurements) statistically establishing the measured demand series. NSRPM has been applied to generating local residential demand. However, this model has not been validated for a real distribution network with residential demand aggregation, or compared to traditional methods (which is dealt with here). This paper compares the results of synthetic stochastic demand series (calculated using NSRPM applied to determining pressure and flow rate) to results obtained using traditional simulation methods using the curve of hourly variation in demand and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as study area.

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Lee, Jeongjin, and Yongku Kim. "A spatial analysis of Neyman-Scott rectangular pulses model using an approximate likelihood function." Journal of the Korean Data and Information Science Society 27, no. 5 (September 30, 2016): 1119–31. http://dx.doi.org/10.7465/jkdi.2016.27.5.1119.

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Bhanja, Joydeep, and Malay Ghosh. "The Neyman-Scott Phenomenon in Generalized Linear Models and Overdispersed Exponential Families." Calcutta Statistical Association Bulletin 44, no. 1-2 (March 1994): 29–40. http://dx.doi.org/10.1177/0008068319940103.

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In fixed effects balanced one-way analysis of variance models with homoscedastic normal errors, the maximum likelihood estimator (MLE) of the error variance is inconsistent as the cell-size remains fixed but the number of cells grows to infinity. This is the famous Neymnn-Scott phenomenon. The present paper shows that the Neyman-Scott phenomenon continues to hold for estimating the scale parameter in the canonical version of generalized linear models when the number of nuisance parameters grows to infinity. A similar result holds for overdispersed exponential faruily of distributions. It is also pointed out how the conditional MLE in such cases does not suffer from the inconsistency problem. The relationship between the conditional score function and the corrected score function in general mixture models is also pointed out. The Neyman-Scott phenomenon is also shown to hold for the two-parameter exponential family typically used for modelling overdispersion.

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Najari, Nader, and Mohammad Q. Vahidi Asl. "Neyman–Scott process with alpha-skew-normal clusters." Environmental and Ecological Statistics 28, no. 1 (January 8, 2021): 73–86. http://dx.doi.org/10.1007/s10651-020-00476-y.

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Dissertations / Theses on the topic "Neyman-Scott"

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Favre, Anne-Catherine. "Single and multi-site modelling of rainfall based on the Neyman-Scott process /." Lausanne : EPFL, 2001. http://library.epfl.ch/theses/?nr=2320.

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Peres, David Johnny. "The hydrologic control on shallow landslide triggering: empirical and monte carlo pysically-based approaches." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1387.

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In the dissertation, a Monte Carlo approach, that combines stochastic and deterministic modeling approaches, is used to analyze the hydrological control on shallow landslide triggering. In particular, an integrated stochastic rainfall and deterministic landslide simulator has been developed for the purpose. The simulator is composed by the following components: (i) a seasonal Neyman-Scott Rectangular Pulses (NRSP) model to generate synthetic hourly point rainfall data; (ii) a module for rainfall event identification and separation from dry intervals; (iii) the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model, version 2 (Baum et al., 2008, 2010) to simulate landslide triggering by rainfall infiltration, combined with a water table recession (WTR) model that computes the initial water table height to consider in simulating rainfall events with TRIGRS. The Monte Carlo simulator has been applied to the Loco catchment in the Peloritani Mountains in northeastern Sicily of Italy, an area with high landslide risk, as recently demonstrated by the regional debris-flow event that occurred on 1 October 2009, which caused 37 casualties and millions of euros of damage. The Monte Carlo approach has been applied for estimation of return periods of shallow landslide triggering and for the evaluation of the most commonly-used types of empirical rainfall threshold. Use of the Monte Carlo approach for estimation of the return period of landsling, represents an advance to approaches based on rainfall Intensity-Duration-Frequency (IDF) curves, applied by several different researchers, for two reasons. Firstly because the response of an hillslope to hyetographs of rectangular (or any other predifined) shape may be significantly different from that to a real-like stochastically variable hyetograph. Secondly, and more importantly, the use of the Monte Carlo approach, in which water table depths at the beginning of each rainfall event are determined in response to antecedent rainfall time history, enables to avoid the drawback of assuming an arbitrary initial water table depth (for instance equal to zero), which has a probability to occur that should be taken into account in estimating the return period. In fact, IDF-based return period estimation is in principle flawed by the fact that in estimating return period the conditional probability of the rainfall event, given the assumed initial water table height, should be considered. Monte Carlo simulations have allowed to map return period of landslide triggering on the case-study catchment. Simulation results have been analyzed to evaluate from a theoretical perspective the Intensity-Duration empirical model paradigm, i.e. to understand if the stochastic nature of rainfall combined with the physical processes of soil-water movement provide a theoretical justification to this most widely used empirical model. In fact, in spite of its consolidated use, no particular theoretical justification for the use of the Intensity-Duration empirical model exists. The paradigm is that a rainfall threshold for landslide triggering assumes a straight line in a bi-logarithmic rainfall (mean) Intensity - Duration plane. The obtained results allow to state that, actually, stochastic structure of real rainfall events combined with the infiltration response reveal in a certain sense a theoretical justification to the I - D relationship. Iso-pore-pressure points, in the bi-logarithmic rainfall (mean) Intensity - Duration plane, lay, with relatively low scattering, around a straight line, in the cases that initial water table height is negligible. This means that the I-D model represents a valid model to interpret data in the case that memory of pore pressures is negligible. In the opposite, most likely, case, the I-D model should be coupled with an antecedent rainfall model.

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Damiano, Rafael Gaspar. "Modelagem estocástica da demanda individualizada de água residencial." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18138/tde-18032019-165703/.

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A modelagem da demanda de água residencial fornece importantes subsídios ao dimensionamento e gerenciamento de redes de abastecimento de água. O comportamento desta demanda pode ser descrito através de processos estocásticos, caracterizados pela ocorrência de pulsos retangulares de demanda de água ao longo do tempo. Nesse contexto, este trabalho de pesquisa teve como objetivos monitorar e modelar a demanda de água residencial através dos modelos estocásticos dos pulsos retangulares de Neyman Scott (NSRP) e dos Pulsos Totais (OP). Enquanto que no modelo NSRP há a tentativa de simular a demanda de água através da representação dos seus constituintes elementares, no modelo OP busca-se a representação direta da demanda de água agregada dos usuários finais, como observada nos hidrômetros. A calibração e a validação dos modelos foram feitas a partir do monitoramento do consumo de água de quatro residências localizadas na cidade de São Carlos, caracterizadas por perfis de abastecimento distintos. Para tanto, foram desenvolvidos dispositivos dataloggers, que associados aos sensores/emissores de pulsos dos hidrômetros, permitiram o monitoramento do consumo de água ao longo do tempo dos usuários residenciais individuais. Durante a elaboração da pesquisa, foram observados efeitos negativos nas modelagens relacionados à influência dos reservatórios domiciliares (caixas d\'água) no perfil temporal do consumo de água das residências. Buscando mitigar esses efeitos, foram propostas modificações nas etapas de calibração e de geração das séries sintéticas de demanda de água. De uma forma geral, observou-se que as modificações propostas contribuíram para que as séries sintéticas geradas a partir dos modelos NSRP e OP reproduzissem de forma mais acurada as estatísticas das séries observadas, principalmente com relação às intensidades e durações das demandas simuladas. Apesar de as versões modificadas dos modelos NSRP e OP apresentarem desempenho similar na reprodução das médias, variâncias e covariâncias das séries observadas, o modelo OP reproduziu de forma mais consistente os volumes consumidos diários observados.
The modelling of residential water demand provides important subsidies for the design and management of water supply networks. The behavior of this demand can be described through stochastic processes, characterized by the occurrence of rectangular pulses of water demand over time. In this context, the objectives of this research were to monitor and model residential water demand using the Neyman Scott Rectangular Pulse model (NSRP) and Overall Pulse model (OP). While in the NSRP model there is the attempt to simulate the water demand through the representation of its elementary constituents, the OP model aims to direct represent the aggregate water demand of the end users, as observed in water meters. The calibration and validation of the models were done by monitoring the water consumption of four residences located in the city of São Carlos, characterized by different supply profiles. To this end, dataloggers were developed, which, coupled with sensors/pulse emitters and water meters, allowed the monitoring of water consumption over time of individual residential users. During the research, negative effects were observed in the models, related to the influence of the domestic reservoirs on the temporal patter of water consumption of the residences. To mitigate these effects, modifications were proposed in the calibration and generation stages of the synthetic water demand generation series. In general, it was observed that these proposed modifications contributed to a more accurately reproduction of the observed series statistics by the OP and NSRP synthetic series, especially regarding the intensities and durations of the simulated demands. Although the modified versions of the NSRP and OP models presented similar performance in the reproduction of the means, variances and covariance of the observed series, the OP model reproduced in a more consistent way the observed daily consumed volumes.

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Diniz, Érika Cristina [UNESP]. "Modelos de distribuição espacial de precipitações intensas." Universidade Estadual Paulista (UNESP), 2003. http://hdl.handle.net/11449/91935.

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Made available in DSpace on 2014-06-11T19:25:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2003-02-26Bitstream added on 2014-06-13T19:53:23Z : No. of bitstreams: 1 diniz_ec_me_rcla.pdf: 610866 bytes, checksum: 86834ae8acca4f4532e7d39107c9c8c7 (MD5)
Modelos de geração de precipitações são de extrema importância nos dias atuais, pois com o conhecimento do padrão de precipitação em certa área, pode-se planejar obras de forma a minimizar os efeitos das precipitações de grande intensidade. No presente trabalho, aplica-se o modelo de Neyman-Scott e, particularmente, o de Poisson na geração de precipitações de grande intensidade na região da Bacia do Tietê Superior, no Estado de São Paulo, Brasil. Essa região sofre anualmente com as enchentes devido às fortes precipitações e a alta densidade populacional nesta área. Para a aplicação dos modelos de distribuição espacial de precipitações Neyman-Scott e Poisson, foram considerados os dados coletados de 1980 a 1997 de uma rede pluviométrica constituída de treze pluviômetros.
Models related with precipitations generation have extremely importance nowadays because with the standard knowledge about an specific area, we can plan projects to minimize the effects caused by high intensity precipitations. At the present work, we applies Neyman-Scott s model and particularly the one from Poisson, in the precipitations generations with high intensity in the Superior Tietê Bays region, São Paulo state, Brazil. This region suffer annually with the floods due to the strong precipitations and the high human density. To use the Neyman-Scott and Poisson models related to spatial precipitations distribution, we have considered data collected during 1980 to 1997 from a pluviometric network consisted by thirteen rain gauges.

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Jones, Gawain. "Modélisation d'images agronomiques - application a la reconnaissance d'adventices par imagerie pour une pulvérisation localisée." Phd thesis, Université de Bourgogne, 2009. http://tel.archives-ouvertes.fr/tel-00465118.

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Les nouvelles réglementations concernant les usages de produits phytosanitaires et la prise en compte de l'environnement (pollution, biodiversité) en agriculture ont conduit à la mise au point de méthodes d'identification de plantes (culture et adventices) par une gestion spécifique des adventices par imagerie. Afin de disposer d'un outil performant permettant l'évaluation de ces méthodes d'identification reposant sur une analyse spatiale de la scène photographiée, un modèle de simulation de scènes agronomiques a été mis au point. Prenant en considération certaines caractéristiques agronomiques d'une parcelle cultivée, ce modèle permet de simuler une vérité terrain dont les paramètres - la spatialisation de la culture, le taux d'infestation, la distribution des adventices - sont contrôlés. La scène agronomique ainsi créée subit ensuite une transformation projective afin de simuler la prise de photographie et, ainsi, de prendre en compte tous les paramètres nécessaire à la création d'une image. Ce modèle a ensuite été validé à l'aide de comparaison statistique avec des données réelles. De nouveaux algorithmes spatiaux basés sur la Transformée de Hough et utilisant l'alignement en rang de la culture ont également été développés. Trois méthodes basées sur une analyse en composante connexe, une estimation de contours et une méthode probabiliste ont été mises en œuvre et exhaustivement évaluées à l'aide du modèle développé. Les résultats obtenus sont de très bonne qualité avec une classification correcte de la culture et des adventices supérieure à 90% et pouvant atteindre 98% dans certains cas. Enfin, pour ce modèle, une approche spectrale a également été explorée afin de dépasser les limitations imposées par les méthodes spatiales. Une extension 3D a été apportée à ce modèle afin de permettre la simulation de la réflectance bidirectionnelle (BRDF) des plantes et du sol à l'aide des modèles PROSPECT et SOILSPECT. La transformation d'une information spectrale en une information couleur RGB, la prise en compte de filtres optiques ou la création de données multispectrales sont également discutées.

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"Application of the generalized Neyman-Scott process in spatial sampling design." 2015. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1291530.

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This thesis introduces a new algorithm to search for optimal spatial sampling design. It is found in previous studies of Zhu and Stein (2006) that the optimal sampling design for spatial prediction with estimated parameters is nearly regular with a few clustering points. The pattern is similar to the generalized Neyman-Scott (GNS) process introduced by Yau and Loh (2012), which allows for regularity in the parent process. This motivates the use of a realization of the GNS process as a spatial sampling design. This method translates the high dimensional optimization problem of selecting sampling sites into a low dimensional optimization problem of searching for the optimal parameter sets in the GNS process. Simulation studies indicate that the proposed sampling design algorithm is more computationally efficient while the result of criterion minimization is comparable to traditional methods.
本文介紹了一種新的算法來搜索最優空間採樣設計。先前Zhu和Stein（2006）的研究發現，按被估計參數的空間預測的最優採樣設計是近乎有規律的，同時伴隋一些聚類點。該圖案與Yau和Loh（2012）介紹的廣義Neyman-Scott（GNS）過程相似，其中的父過程擁有規律性。這驅使我們使用GNS過程的實現作為空間採樣設計。這種方法把選擇採樣點的高維優化問題轉化為搜索最優GNS過程參數集的低維優化問題。模擬實驗顯示，該採樣設計的算法是計算效率更高，同時其最小化判別函數的結果是可以媲美傳統的方法。
Lai, Sai Yu.
Thesis M.Phil. Chinese University of Hong Kong 2015.
Includes bibliographical references (leaves 31-34).
Abstracts also in Chinese.
Title from PDF title page (viewed on 18, October, 2016).
Detailed summary in vernacular field only.

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Leonard, Michael. "A stochastic space-time rainfall model for engineering risk assessment." Thesis, 2010. http://hdl.handle.net/2440/62329.

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The temporal and spatial variability of Australia’s climate affects the quantity and quality of its water resources, the productivity of its agricultural systems, and the health of its ecosystems. This variability should be taken into account when assessing the risks associated with flooding. Continuous simulation rainfall models are one means for doing this, whereby sequences of storms are generated for an arbitrarily long time period and over some region of interest. The simulated rainfall should reproduce observed statistics in time and space so that it can be used as a suitable input for hydrologic models at the catchment scale, with particular emphasis on extreme events. There are a variety of approaches to modelling rainfall, including a broad range of singlesite and multi-site rainfall models. By way of contrast there are few models that aim to simulate rainfall across all points within a region at daily or sub-daily increments. This thesis focuses on models calibrated solely to rain gauges, and a specific type known as Neyman-Scott Rectangular Pulse (NSRP) models. Existing NSRP models have a mature history of modelling developments including calibration methodology and an ability to reproduce key statistics across a range of timescales. Nonetheless, these models also have several limitations (and other space-time models not withstanding) that are addressed in this thesis. These developments include improvements to the conceptual representation of rainfall and improvements to calibration and simulation techniques. Specifically these improvements include (i) the development of an efficient simulation technique, (ii) assessing the impact of monthly parameter changes on on rainfall statistics, (iii) the use of simulated statistics within calibration to overcome reliance on derived model properties (iv) incorporating a storm extent parameter to better match spatial correlations, (v) incorporating long term climatic variability and developing a methodology to assess climatic and seasonal variability in simulated extremes (vi) incorporating inhomogeneity of rainfall occurrence across a region. Numerous case studies are used at various locations about Australia to illustrate these improvements and highlight the applicability of the model under varied climatic conditions.
Thesis (Ph.D.) -- University of Adelaide, School of Civil, Environmental and Mining Engineering, 2010

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Sadil, Antonín. "Perfektní simulace ve stochastické geometrii." Master's thesis, 2010. http://www.nusl.cz/ntk/nusl-298168.

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Perfect simulations are methods, which convert suitable Markov chain Monte Carlo (MCMC) algorithms into algorithms which return exact draws from the target distribution, instead of approximations based on long-time convergence to equilibrium. In recent years a lot of various perfect simulation algorithms were developed. This work provides a unified exposition of some perfect simulation algorithms with applications to spatial point processes, especially to the Strauss process and area-interaction process. Described algorithms and their properties are compared theoretically and also by a simulation study.

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Book chapters on the topic "Neyman-Scott"

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Ghosh, Malay. "On Some Bayesian Solutions of the Neyman-Scott Problem." In Statistical Decision Theory and Related Topics V, 267–76. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2618-5_20.

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Amari, Shun-ichi. "Neyman-Scott Problem: Estimating Function and Semiparametric Statistical Model." In Information Geometry and Its Applications, 191–213. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55978-8_9.

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Foufoula-Georgiou, Efi, and Peter Guttorp. "Assessment of a Class of Neyman-Scott Models for Temporal Rainfall." In Collected Reprint Series, 9679–82. Washington, DC: American Geophysical Union, 2013. http://dx.doi.org/10.1002/9781118782071.ch13.

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Choiruddin, Achmad, Tabita Yuni Susanto, and Rahma Metrikasari. "Two-Step Estimation for Modeling the Earthquake Occurrences in Sumatra by Neyman–Scott Cox Point Processes." In Communications in Computer and Information Science, 146–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7334-4_11.

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"Chapter 10: The new likelihoods and the Neyman-Scott problems." In NSF-CBMS Regional Conference Series in Probability and Statistics, 99–105. Haywood CA and Alexandria VA: Institute of Mathematical Statistics and American Statistical Association, 1994. http://dx.doi.org/10.1214/cbms/1462297310.

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Yendra, Rado, Abdul Aziz Jemain, and Ibrahim Sulaiman Hanaish. "Analysis of Storm Rainfall in Peninsular Malaysia Using Neyman‐Scott Rectangular Pulse Modeling." In Engineering and Mathematical Topics in Rainfall. InTech, 2018. http://dx.doi.org/10.5772/intechopen.70043.

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COWPERTWAIT, P. S. P., and P. E. O'CONNELL. "A Neyman-Scott shot noise model for the generation of daily streamflow time series." In Advances in Theoretical Hydrology, 75–94. Elsevier, 1992. http://dx.doi.org/10.1016/b978-0-444-89831-9.50013-2.

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Conference papers on the topic "Neyman-Scott"

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Yendra, Rado, Abdul Aziz Jemain, Marina Zahari, and Wan Zawiah Wan Zin. "Methods on handling missing rainfall data with Neyman-Scott rectangular pulse modeling." In PROCEEDINGS OF THE 20TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES: Research in Mathematical Sciences: A Catalyst for Creativity and Innovation. AIP, 2013. http://dx.doi.org/10.1063/1.4801269.

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Ajami, Abdel Karim, and Hassan Artail. "Analyzing The Throughput of Online Home Users During the COVID-19 Pandemic Using the Neyman-Scott Cluster Process." In 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2021. http://dx.doi.org/10.1109/wimob52687.2021.9606408.

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