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Journal articles on the topic 'Bivariate analysi'

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Published: 9 March 2023

Last updated: 10 March 2023

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Kressner, Daniel. "Bivariate matrix functions." Operators and Matrices, no. 2 (2014): 449–66. http://dx.doi.org/10.7153/oam-08-23.

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12

Park, Kyungwon. "Bivariate n-term rational approximation." Journal of Approximation Theory 136, no. 1 (September 2005): 60–83. http://dx.doi.org/10.1016/j.jat.2005.05.005.

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13

Fitzpatrick, J. M., and L. L. Schumaker. "On 1-1 Bivariate Transformations." Journal of Approximation Theory 72, no. 1 (January 1993): 40–53. http://dx.doi.org/10.1006/jath.1993.1005.

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14

Hakopian, Hakop A., and Saleem Ali Mohammad Ismail. "On a Bivariate Interpolation Problem." Journal of Approximation Theory 116, no. 1 (May 2002): 76–99. http://dx.doi.org/10.1006/jath.2001.3667.

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15

Neuman, Edward. "A note on a certain bivariate mean." Journal of Mathematical Inequalities, no. 4 (2012): 637–43. http://dx.doi.org/10.7153/jmi-06-62.

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16

Neuman, Edward. "A one-parameter family of bivariate means." Journal of Mathematical Inequalities, no. 3 (2013): 399–412. http://dx.doi.org/10.7153/jmi-07-35.

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17

Yang, Zhen-Hang, and Yuming Chu. "An optimal inequalities Chain for bivariate means." Journal of Mathematical Inequalities, no. 2 (2015): 331–43. http://dx.doi.org/10.7153/jmi-09-27.

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18

Neuman, Edward. "On a new family of bivariate means." Journal of Mathematical Inequalities, no. 3 (2017): 673–81. http://dx.doi.org/10.7153/jmi-11-53.

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19

Neuman, Edward. "On a new family of bivariate means." Journal of Mathematical Inequalities, no. 3 (2017): 673–81. http://dx.doi.org/10.7153/jmi-2017-11-53.

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20

Jha, S., A. K. B. Chand, and M. A. Navascues. "Generalized Bivariate Hermite Fractal Interpolation Function." Numerical Analysis and Applications 14, no. 2 (April 2021): 103–14. http://dx.doi.org/10.1134/s1995423921020014.

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21

Halton, E. J., and W. A. Light. "Minimal projections in bivariate function spaces." Journal of Approximation Theory 44, no. 4 (August 1985): 315–24. http://dx.doi.org/10.1016/0021-9045(85)90084-x.

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22

Shekhtman, Boris. "Case study in bivariate Hermite interpolation." Journal of Approximation Theory 136, no. 2 (October 2005): 140–50. http://dx.doi.org/10.1016/j.jat.2005.06.001.

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23

Gevorgian, Hovik V., Hakop A. Hakopian, and Artur A. Sahakian. "Bivariate Hermite Interpolation and Numerical Curves." Journal of Approximation Theory 85, no. 3 (June 1996): 297–317. http://dx.doi.org/10.1006/jath.1996.0044.

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24

Nürnberger, G. "Approximation Order of Bivariate Spline Interpolation." Journal of Approximation Theory 87, no. 2 (November 1996): 117–36. http://dx.doi.org/10.1006/jath.1996.0095.

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25

Han, Ruijian, Kani Chen, and Chunxi Tan. "Bivariate gamma model." Journal of Multivariate Analysis 180 (November 2020): 104666. http://dx.doi.org/10.1016/j.jmva.2020.104666.

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26

Bărbosu, Dan. "Kantorovich-Schurer bivariate operators." Miskolc Mathematical Notes 5, no. 2 (2004): 129. http://dx.doi.org/10.18514/mmn.2004.71.

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27

Neuman, Edward, and József Sándor. "Inequalities for the ratios of certain bivariate means." Journal of Mathematical Inequalities, no. 3 (2008): 383–96. http://dx.doi.org/10.7153/jmi-02-34.

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28

Bărbosu, Dan, Carmen Violeta Muraru, and Ana-Maria Acu. "Some bivariate Durrmeyer operators based on q-integers." Journal of Mathematical Inequalities, no. 1 (2017): 59–75. http://dx.doi.org/10.7153/jmi-11-06.

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29

Neuman, Edward. "On a new family of bivariate means II." Journal of Mathematical Inequalities, no. 3 (2018): 873–82. http://dx.doi.org/10.7153/jmi-2018-12-65.

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30

Nadarajah, Saralees. "The bivariate Gauss hypergeometric beta distribution." Integral Transforms and Special Functions 19, no. 12 (December 2008): 859–68. http://dx.doi.org/10.1080/10652460802149795.

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31

Nagar, Daya K., and Johanna Marcela Orozco-Castañeda. "Generalized bivariate beta type 1 distribution." Journal of Interdisciplinary Mathematics 12, no. 3 (June 2009): 421–29. http://dx.doi.org/10.1080/09720502.2009.10700634.

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32

Marcellán, Francisco, Misael E. Marriaga, Teresa E. Pérez, and Miguel A. Piñar. "Geronimus transformations of bivariate linear functionals." Journal of Mathematical Analysis and Applications 484, no. 2 (April 2020): 123736. http://dx.doi.org/10.1016/j.jmaa.2019.123736.

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33

Li, Qiang, and Xuezhang Liang. "Bivariate real-valued orthogonal periodic wavelets." Analysis in Theory and Applications 21, no. 3 (September 2005): 266–79. http://dx.doi.org/10.1007/bf02836957.

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34

Astriana, Willy. "PENGETAHUAN TENTANG SENAM HAMIL TERHADAP PELAKSANAAN SENAM HAMIL PADA IBU HAMIL DI KELAS POSYANDU." Jurnal Kesehatan Abdurrahman 9, no. 1 (March 16, 2020): 27–33. http://dx.doi.org/10.55045/jkab.v9i1.102.

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Pregnant exercises are not just exercises like regular exercise that makes the body become fresh and fit, but pregnancy exercises are proven to help in changes in the body's metabolism during pregnancy and are very helpful in labor. The purpose of this study was to determine the relationship of knowledge about pregnancy exercise with the implementation of pregnancy exercise in pregnant women. This research uses analytic method with cross sectional approach. The population in this study were all pregnant women who came to Posyandu UPTD Puskesmas Tanjung Agung, West Baturaja Subdistrict, Ogan Komering Ulu District, totaling 76 people. Data analysis uses univariate analysis and bivariate analysis using distribution tables and Chi-Square statistical tests, with a 95% confidence level. In the bivariate analysis it was found that there was a relationship of Knowledge about Pregnancy Exercise to the implementation of pregnancy exercise in pregnant women with a p value of 0.028. There is a relationship of knowledge about pregnancy exercise with the implementation of pregnancy exercise in pregnant women. Senam hamil bukan hanya sekedar senam seperti olahraga biasa yang membuat tubuh menjadi segar dan bugar, namun senam hamil terbukti dapat membantu dalam perubahan metabolisme tubuh selama kehamilan dan sangat membantu dalam proses persalinan. Tujuan penelitian ini untuk mengetahui hubungan pengetahuan tentang senam hamil terhadap pelaksanaan senam hamil pada ibu hamil. Penelitian ini menggunakan metode analitik dengan pendekatan cross sectional. Populasi dalam penelitian adalah seluruh ibu hamil yang dating ke Posyandu UPTD Puskesmas Tanjung Agung Kecamatan Baturaja Barat Kabupaten Ogan Komering Ulu yang berjumlah76 orang. Analisa data menggunakan analisa univariat dan analisa bivariat dengan menggunakan tabel distribusi dan uji statistik Chi-Square, dengan derajat kepercayaan 95%.Pada analisa bivariat didapatkan ada hubungan Pengetahuan tentang Senam Hamil terhadap pelaksanaan senam hamil pada ibu hamil dengan nilai p value 0,028. Ada hubungan pengetahuan tentang Senam Hamil terhadap pelaksanaan senam hamil Pada IbuHamil.

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35

Chui, Charles K., and Mingjun Lai. "On bivariate super vertex splines." Constructive Approximation 6, no. 4 (December 1990): 399–419. http://dx.doi.org/10.1007/bf01888272.

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36

de Boor, Carl, Klaus Höllig, and Sherman Riemenschneider. "Convergence of bivariate cardinal interpolation." Constructive Approximation 1, no. 1 (December 1985): 183–93. http://dx.doi.org/10.1007/bf01890030.

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37

Dean, P. N., S. Kolla, and M. A. Van Dilla. "Analysis of bivariate flow karyotypes." Cytometry 10, no. 2 (March 1989): 109–23. http://dx.doi.org/10.1002/cyto.990100202.

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38

Sistiarani, Colti, Arif Kurniawan, and Bambang Hariyadi. "Analisis Peran Penerapan Warga Peduli AIDS (WPA) pada Kader di Desa Karangtengah Cilongok, Banyumas." Jurnal Kesehatan Reproduksi 6, no. 1 (May 31, 2019): 7. http://dx.doi.org/10.22146/jkr.41626.

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Latar Belakang: Pemberdayaan kader WPA diperlukan dalam upaya penerapan konsep WPA yang bertujuan untuk meningkatkan pengetahuan dan pencegahan perilaku berisiko di masyarakat.Tujuan: penelitian ini untuk mengetahui persepsi dan peran penerapan program WPA yang dilakukan oleh kader WPA.Metode: Penelitian yang dilakukan merupakan jenis penelitian kuantitatif dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh kader WPA yang aktif di wilayah Desa Karangtengah Cilongok. Sampel dalam penelitian ini yaitu berjumlah 46 kader.Hasil dan Pembahasan: Analisis data dilakukan dengan analisis univariat dan bivariate. Analisis bivariate menggunakan uji chi square. Hasil penelitian yang didapat dalam penelitian ini yaitu kader WPA sebagian besar memiliki persepsi baik sebesar 56,5%, pengetahuan yang baik sebesar 54,3%, serta peran dalam kegiatan WPA sebagian besar kurang baik sebesar 47,8%. Kesimpulan : Hasil analisis bivariat didapatkan hasil bahwa tidak ada hubungan antara persepsi dengan peran kader dalam pelaksanaan WPA, namun ada hubungan antara pengetahuan tentang WPA dengan peran kader dalam pelaksanaan WPA. Kata Kunci : Kader WPA; Persepsi; Peran

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39

Wang, Jun-Li, Wei-Mao Qian, Zai-Yin He, and Yu-Ming Chu. "On Approximating the Toader Mean by Other Bivariate Means." Journal of Function Spaces 2019 (March 3, 2019): 1–7. http://dx.doi.org/10.1155/2019/6082413.

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40

Elezović, Neven, and Lenka Vukšić. "Asymptotic expansions of bivariate classical means and related inequalities." Journal of Mathematical Inequalities, no. 4 (2014): 707–24. http://dx.doi.org/10.7153/jmi-08-53.

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41

Bărbosu, Dan. "Some generalized bivariate Bernstein operators." Miskolc Mathematical Notes 1, no. 1 (2000): 3. http://dx.doi.org/10.18514/mmn.2000.14.

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42

Chiavone, Flávia Barreto Tavares, Claúdia Cristiane Filgueira Martins Rodrigues, Larissa De Lima Ferreira, Pétala Tuani Candido de Oliveira Salvador, Manaces Dos Santos Bezerril, and Viviane Euzebia Pereira Santos. "Clima Organizacional em uma Unidade de Terapia Intensiva: percepções da equipe de enfermagem." Enfermería Global 20, no. 2 (April 1, 2021): 390–425. http://dx.doi.org/10.6018/eglobal.427861.

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Objetivo: Medir el clima organizacional del equipo de enfermería en la unidad de cuidados intensivos. Método: Este es un estudio transversal, con enfoque cuantitativo, desarrollado en una unidad de cuidados intensivos de un hospital universitario en el noreste de Brasil. La recolección de datos se realizó en 2016, con la participación de 30 profesionales de enfermería. Se realizó el análisis de datos a partir de estadística descriptiva y análisis de datos bivariados. Resultados: Se encontró que los profesionales de enfermería perciben un clima organizacional bajo en el sector en que trabajan y el desarrollo profesional y los beneficios fueron el factor considerado más bajo entre los trabajadores. El análisis bivariado infiere significativamente que los profesionales que tienen hijos tienen una baja percepción del clima organizacional. Conclusión: La percepción del clima organizacional del equipo de enfermería investigado es baja. Objective: To measure the organizational climate of the nursing team in the intensive care unit. Method: This is a cross-sectional study, with a quantitative approach, developed in the intensive care unit of a university hospital in the Northeast of Brazil. Data collection was carried out in 2016, with the participation of 30 nursing professionals. Data analysis was carried out using descriptive statistics and a bivariate analysis of data. Results: It was found that nursing professionals perceive a low organizational climate score in the sector they work. The professional Development and the benefits were considered the lowest factor by the workers. The bivariate analysis significantly infers that the professionals who have children have a low perception of the organizational climate. Conclusion: The nursing team investigated is perceives the score of the organizational climate to be low. Objetivo: Mensurar o clima organizacional da equipe enfermagem na unidade de terapia intensiva. Método: trata-se de um estudo transversal, de abordagem quantitativa, desenvolvida em uma unidade de terapia intensiva em um hospital universitário no nordeste do Brasil. A coleta de dados foi realizada em 2016, com a participação de 30 profissionais de enfermagem. A análise dos dados se deu por estatística descritiva e análise bivariada dos dados. Resultados: Verificou-se que os profissionais de enfermagem percebem um baixo clima organizacional no setor que atuam e o Desenvolvimento profissional e benefícios foi o fator considerado mais baixo entre os trabalhadores. A análise bivariada infere de maneira significativa que os profissionais que possuem filhos têm uma baixa percepção do clima organizacional. Conclusão: A percepção do clima organizacional da equipe de enfermagem investigada é baixa.

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43

Kundu, Debasis, and Rameshwar D. Gupta. "Bivariate generalized exponential distribution." Journal of Multivariate Analysis 100, no. 4 (April 2009): 581–93. http://dx.doi.org/10.1016/j.jmva.2008.06.012.

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44

Thibault, Lionel, and Nadia Zlateva. "Integrability of subdifferentials of certain bivariate functions." Nonlinear Analysis: Theory, Methods & Applications 54, no. 7 (September 2003): 1251–69. http://dx.doi.org/10.1016/s0362-546x(03)00137-8.

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45

Correa, R., and L. Thibault. "Subdifferential analysis of bivariate separately regular functions." Journal of Mathematical Analysis and Applications 148, no. 1 (May 1990): 157–74. http://dx.doi.org/10.1016/0022-247x(90)90035-e.

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46

Agratini, Octavian. "Bivariate Positive Operators in Polynomial Weighted Spaces." Abstract and Applied Analysis 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/850760.

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This paper aims to two-dimensional extension of some univariate positive approximation processes expressed by series. To be easier to use, we also modify this extension into finite sums. With respect to these two new classes designed, we investigate their approximation properties in polynomial weighted spaces. The rate of convergence is established, and special cases of our construction are highlighted.

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47

Zhou, Wei, and Zuoxiang Peng. "Asymptotic behavior of bivariate Gaussian powered extremes." Journal of Mathematical Analysis and Applications 455, no. 2 (November 2017): 923–38. http://dx.doi.org/10.1016/j.jmaa.2017.06.020.

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48

Gal, S. G., and J. Szabados. "Global smoothness preservation by bivariate interpolation operators." Analysis in Theory and Applications 19, no. 3 (September 2003): 193–208. http://dx.doi.org/10.1007/bf02835279.

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49

Bardaro, C., and I. Mantellini. "Asymptotic formulae for bivariate Mellin convolution operators." Analysis in Theory and Applications 24, no. 4 (December 2008): 377–94. http://dx.doi.org/10.1007/s10496-008-0377-9.

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Gasca, Mariano, and Thomas Sauer. "On Bivariate Hermite Interpolation with Minimal Degree Polynomials." SIAM Journal on Numerical Analysis 37, no. 3 (January 2000): 772–98. http://dx.doi.org/10.1137/s0036142998338873.

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