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Dissertations / Theses on the topic 'Exponential Family of distribution'

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Published: 28 June 2021

Last updated: 29 July 2025

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1

Lai, Yanzhao. "Generalized method of moments exponential distribution family." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-2/laiy/yanzhaolai.pdf.

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2

Hornik, Kurt, and Bettina Grün. "On standard conjugate families for natural exponential families with bounded natural parameter space." Elsevier, 2014. http://dx.doi.org/10.1016/j.jmva.2014.01.003.

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Diaconis and Ylvisaker (1979) give necessary conditions for conjugate priors for distributions from the natural exponential family to be proper as well as to have the property of linear posterior expectation of the mean parameter of the family. Their conditions for propriety and linear posterior expectation are also sufficient if the natural parameter space is equal to the set of all d-dimensional real numbers. In this paper their results are extended to characterize when conjugate priors are proper if the natural parameter space is bounded. For the special case where the natural exponential

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3

Wang, Zhizheng. "Hardware Utilization Measurement and Optimization: A Statistical Investigation and Simulation Study." Thesis, Uppsala universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-260070.

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It is essential for the managers to make investment on hardware based on the utilization information of the equipment. From December 2014, a pool of hardware and a scheduling and resource sharing system is implemented by one of the software testing sections in Ericsson. To monitor the efficiency of these equipment and the workflow, a model of non-homogeneous M/M/c queue is developed that successfully captures the main aspects of the system. The model is decomposed into arrival, service, failure and each part is estimated. Mixture exponential is estimated with EM algorithm and the impact of sch

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4

Ruddy, Sean Matthew. "Shrinkage of dispersion parameters in the double exponential family of distributions, with applications to genomic sequencing." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3686002.

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<p> The prevalence of sequencing experiments in genomics has led to an increased use of methods for count data in analyzing high-throughput genomic data to perform analyses. The importance of shrinkage methods in improving the performance of statistical methods remains. A common example is that of gene expression data, where the counts per gene are often modeled as some form of an overdispersed Poisson. In this case, shrinkage estimates of the per-gene dispersion parameter have lead to improved estimation of dispersion in the case of a small number of samples. We address a different count sett

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5

Ibukun, Michael Abimbola. "Modely s Touchardovým rozdělením." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445468.

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In 2018, Raul Matsushita, Donald Pianto, Bernardo B. De Andrade, Andre Cançado & Sergio Da Silva published a paper titled ”Touchard distribution”, which presented a model that is a two-parameter extension of the Poisson distribution. This model has its normalizing constant related to the Touchard polynomials, hence the name of this model. This diploma thesis is concerned with the properties of the Touchard distribution for which delta is known. Two asymptotic tests based on two different statistics were carried out for comparison in a Touchard model with two independent samples, supported by s

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6

Okada, Daigo. "Decomposition of a set of distributions in extended exponential family form for distinguishing multiple oligo-dimensional marker expression profiles of single-cell populations and visualizing their dynamics." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263569.

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7

Sears, Timothy Dean, and tim sears@biogreenoil com. "Generalized Maximum Entropy, Convexity and Machine Learning." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20090525.210315.

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This thesis identiﬁes and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning and statistics. Entropy functions based on deformed logarithms are used to construct Bregman divergences, and together these represent a generalization of relative entropy. The framework is analyzed using convex analysis to charac- terize generalized forms of exponential family distributions. Various connections to the existing machine learning literature are discussed and the techniques are applied to the problem of non-neg

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8

TOZZO, VERONICA. "Generalised temporal network inference." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/986950.

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Network inference is becoming increasingly central in the analysis of complex phenomena as it allows to obtain understandable models of entities interactions. Among the many possible graphical models, Markov Random Fields are widely used as they are strictly connected to a probability distribution assumption that allow to model a variety of different data. The inference of such models can be guided by two priors: sparsity and non-stationarity. In other words, only few connections are necessary to explain the phenomenon under observation and, as the phenomenon evolves, the underlying connection

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9

Silva, Michel Ferreira da. "Estimação e teste de hipótese baseados em verossimilhanças perfiladas." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-06122006-162733/.

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Tratar a função de verossimilhança perfilada como uma verossimilhança genuína pode levar a alguns problemas, como, por exemplo, inconsistência e ineficiência dos estimadores de máxima verossimilhança. Outro problema comum refere-se à aproximação usual da distribuição da estatística da razão de verossimilhanças pela distribuição qui-quadrado, que, dependendo da quantidade de parâmetros de perturbação, pode ser muito pobre. Desta forma, torna-se importante obter ajustes para tal função. Vários pesquisadores, incluindo Barndorff-Nielsen (1983,1994), Cox e Reid (1987,1992), McCullagh e Tib

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10

Gutierrez-Pena, Eduardo Arturo. "Bayesian topics relating to the exponential family." Thesis, Imperial College London, 1995. http://hdl.handle.net/10044/1/8062.

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11

Kosmidis, Ioannis. "Bias reduction in exponential family nonlinear models." Thesis, University of Warwick, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492241.

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The modified-score functions approach to bias reduction (Firth, 1993) is continually gaining in popularity (e.g. Mehrabi & Matthews, 1995; Pettitt et al., 1998; Heinze & Schemper, 2002; Bull et al., 2002; Zorn, 2005; Sartori, 2006; Bull et al., 2007), because of the superior properties of the bias-reduced estimator over the traditional maximum likelihood estimator, particularly in models for categorical responses. Most of the activity is noted for logistic regression, where the bias-reduction method neatly corresponds to penalization of the likelihood by Jeffreys prior and the bias-reduced est

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12

Magalla, Champa Hemanthi. "Model adequacy tests for exponential family regression models." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/13640.

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Doctor of Philosophy<br>Department of Statistics<br>James Neill<br>The problem of testing for lack of fit in exponential family regression models is considered. Such nonlinear models are the natural extension of Normal nonlinear regression models and generalized linear models. As is usually the case, inadequately specified models have an adverse impact on statistical inference and scientific discovery. Models of interest are curved exponential families determined by a sequence of predictor settings and mean regression function, considered as a sub-manifold of the full exponential family. C

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13

Hamza, Marwa. "Caractérisations des familles exponentielles naturelles cubiques : étude des lois Beta généralisées et de certaines lois de Kummer." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0036/document.

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Cette thèse contient deux parties différentes. Dans la première partie, nous nous sommes intéressés aux familles exponentielles naturelles cubiques dont la fonction variance est un polynôme de degré inférieur ou égal à 3. Nous donnons trois caractérisations de ces familles en se basant sur une approche Bayesienne. L’une de ces caractérisations repose sur le fait que la fonction cumulante vérifie une équation différentielle. La deuxième partie de notre travail est consacrée aux conséquences de la propriété d’indépendance de type « Matsumoto-Yor » qui a été développée par Koudou et Vallois. Cett

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14

Tatman, Stacie E. "A bivariate distribution connected with poissonian maxima of exponential variables." abstract and full text PDF (UNR users only), 2009. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1467770.

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15

Wang, Zeyi. "Inference about Reliability Parameter with Underlying Gamma and Exponential Distribution." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/475.

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The statistical inference about the reliability parameter R involving independent gamma stress and exponential strength is considered. Assuming the shape parameter of gamma is a known arbitrary real number and the scale parameters of gamma and exponential are unknown, the UMVUE and MLE of R are obtained. A pivot is proposed. Some inference about R derived from this pivot is presented. It will be shown that the pivot can be used for testing hypothesis and constructing condence interval. A procedure of constructing the condence interval for R is derived. The performances of the UMVUE and MLE are

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16

Qeadan, Fares. "Bivariate distribution of n iid exponential random variables KPQ-EXP /." abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1456407.

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17

CAFFERATA, Mattia. "Estimates for a family of exponential sums with modular coefficients." Doctoral thesis, Università degli studi di Ferrara, 2019. http://hdl.handle.net/11392/2488054.

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In this work we establish non-trivial estimates for a family of exponential sums weighted with modular coefficients. Two sequences of weights are considered: the sequence {a_f(n)} of the normalized Fourier coefficients of a cuspidal eigenform f and the sequence {\mu_f(n)} obtained as the inverse of {a_f(n)} with respect to the Dirichlet convolution. The main tool developed for our proof is a generalisation of a result due to Bourgain, Sarnak and Ziegler which is widely used to study the orthogonality properties of the Moebius function \mu(n). We remark that the function \mu_f(n) is strictly re

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18

Rauh, Johannes. "Finding the Maximizers of the Information Divergence from an Exponential Family." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-77355.

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The subject of this thesis is the maximization of the information divergence from an exponential family on a finite set, a problem first formulated by Nihat Ay. A special case is the maximization of the mutual information or the multiinformation between different parts of a composite system. My thesis contributes mainly to the mathematical aspects of the optimization problem. A reformulation is found that relates the maximization of the information divergence with the maximization of an entropic quantity, defined on the normal space of the exponential family. This reformulation simplifie

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19

Hamza, Marwa. "Caractérisations des familles exponentielles naturelles cubiques : étude des lois Beta généralisées et de certaines lois de Kummer." Electronic Thesis or Diss., Université de Lorraine, 2015. http://www.theses.fr/2015LORR0036.

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Cette thèse contient deux parties différentes. Dans la première partie, nous nous sommes intéressés aux familles exponentielles naturelles cubiques dont la fonction variance est un polynôme de degré inférieur ou égal à 3. Nous donnons trois caractérisations de ces familles en se basant sur une approche Bayesienne. L’une de ces caractérisations repose sur le fait que la fonction cumulante vérifie une équation différentielle. La deuxième partie de notre travail est consacrée aux conséquences de la propriété d’indépendance de type « Matsumoto-Yor » qui a été développée par Koudou et Vallois. Cett

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20

Possamai, Adriana Alvarez. "Modelos não lineares de família exponencial revisitados." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05112009-103455/.

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O objetivo deste trabalho é fazer uma revisão dos modelos não lineares de família exponencial (Cordeiro & Paula (1989); Wei (1998)) para respostas independentes e apresentar possíveis extensões para o caso de dados correlacionados. Inicialmente são apresentados exemplos ilustrativos, alguns dos quais são reanalizados ao longo do texto. Em seguida são discutidos procedimentos de estimação e testes de hipóteses, tais como apresentação de um processo de estimação que pode ser adaptado ao processo iterativo usado na classe dos modelos lineares generalizados, e alguns resultados assintóticos. Técni

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21

Meyer, Christine Siegwarth. "Income distribution and family structure." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11899.

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22

Choi, Sujung. "On two-sample data analysis by exponential model." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2653.

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We discuss two-sample problems and the implementation of a new two-sample data analysis procedure. The proposed procedure is based on the concepts of mid-distribution, design of score functions, components, comparison distribution, comparison density and exponential model. Assume that we have a random sample X1, . . . ,Xm from a continuous distribution F(y) = P(Xi y), i = 1, . . . ,m and a random sample Y1, . . . ,Yn from a continuous distribution G(y) = P(Yi y), i = 1, . . . ,n. Also assume independence of the two samples. The two-sample problem tests homogeneity of two samples and formall

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23

Zhi, Tianchen. "Maximum Likelihood Estimation of Parameters in Exponential Power Distribution with Upper Record Values." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3211.

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The exponential power (EP) distribution is a very important distribution that was used by survival analysis and related with asymmetrical EP distribution. Many researchers have discussed statistical inference about the parameters in EP distribution using i.i.d random samples. However, sometimes available data might contain only record values, or it is more convenient for researchers to collect record values. We aim to resolve this problem. We estimated two parameters of the EP distribution by MLE using upper record values. According to simulation study, we used the Bias and MSE of the estimato

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24

Shabarshova, Liudmila. "Geometric functional pruning for change point detection in low-dimensional exponential family models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM026.

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La détection de ruptures est un problème courant d'apprentissage non supervisé dans de nombreux domaines d'application, notamment en biologie, en génomique, en surveillance de réseaux de capteurs et en cybersécurité. En général, soit une détection de ruptures a posteriori, c'est-à-dire hors ligne, soit une détection de ruptures séquentielle, c'est-à-dire en ligne, est envisagée.Des méthodes standard de programmation dynamique pour la détection de ruptures ont été proposées pour optimiser le logarithme du rapport de vraisemblance. Ces méthodes sont exactes et récupèrent des segmentations optima

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25

Rauh, Johannes [Verfasser], Nihat [Akademischer Betreuer] Ay, Jürgen [Akademischer Betreuer] Jost, Jürgen [Gutachter] Jost, and Andreas [Gutachter] Knauf. "Finding the Maximizers of the Information Divergence from an Exponential Family : Finding the Maximizersof the Information Divergencefrom an Exponential Family / Johannes Rauh ; Gutachter: Jürgen Jost, Andreas Knauf ; Nihat Ay, Jürgen Jost." Leipzig : Universitätsbibliothek Leipzig, 2011. http://d-nb.info/1237895499/34.

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26

Ma, Yimin. "Bayesian and empirical Bayesian analysis for the truncation parameter distribution families /." *McMaster only, 1998.

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27

Fang, Youjian Carleton University Dissertation Mathematics and Statistics. "TES/GI/1 queues: exponential bounding techniques for the delay (distribution) and stability issues." Ottawa, 1995.

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28

Ozdem, Mehmet. "Video Distribution Over Ip Networks." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608187/index.pdf.

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As applications like IPTV and VoD (Video on demand) are gaining popularity, it is becoming more important to study the behavior of video signals in the Internet access infrastructures such as ADSL and cable networks. Average delay, average jitter and packet loss in these networks affect the quality of service, hence transmission and access speeds need to be determined such that these parameters are minimized. In this study the behavior of the above mentioned IP networks under variable bit rate (VBR) video traffic is investigated. ns-2 simulator is used for this purpose and actual as well as ar

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29

Wang, Rui. "Generalizing Multistage Partition Procedures for Two-parameter Exponential Populations." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2510.

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ANOVA analysis is a classic tool for multiple comparisons and has been widely used in numerous disciplines due to its simplicity and convenience. The ANOVA procedure is designed to test if a number of different populations are all different. This is followed by usual multiple comparison tests to rank the populations. However, the probability of selecting the best population via ANOVA procedure does not guarantee the probability to be larger than some desired prespecified level. This lack of desirability of the ANOVA procedure was overcome by researchers in early 1950's by designing experiments

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30

Gillan, Catherine C. "Using the piecewise exponential distribution to model the length of stay in a manpower planning system." Thesis, University of Ulster, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338317.

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31

Lee, Gunhee. "Noninformative priors for some models useful in reliability and survival analysis /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9720544.

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32

Jansen, van Rensburg Helena Maria. "Goodness-of-fit tests based on new characterizations of the exponential distribution / Helena Maria Jansen van Rensburg." Thesis, North-West University, 2006. http://hdl.handle.net/10394/1095.

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The exponential density is probably one of the most widely used distributions in practice. Due to its importance, many goodness-of-fit tests for exponentiality have been proposed in the literature. The objectives of this research are as follow: 0 to study the importance of the exponential distribution in practical problems, 0 to investigate alternative classes of distributions to the exponential distribution, 0 to present an overview of existing characterizations of the exponential distribution, 0 to evaluate existing goodness-of-fit tests for exponentiality, 0 to develop new goodness-of-fit t

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33

Crumer, Angela Maria. "Comparison between Weibull and Cox proportional hazards models." Kansas State University, 2011. http://hdl.handle.net/2097/8787.

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Master of Science<br>Department of Statistics<br>James J. Higgins<br>The time for an event to take place in an individual is called a survival time. Examples include the time that an individual survives after being diagnosed with a terminal illness or the time that an electronic component functions before failing. A popular parametric model for this type of data is the Weibull model, which is a flexible model that allows for the inclusion of covariates of the survival times. If distributional assumptions are not met or cannot be verified, researchers may turn to the semi-parametric Cox propor

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34

Gautham, Smitha. "An Efficient Implementation of an Exponential Random Number Generator in a Field Programmable Gate Array (FPGA)." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/2173.

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Many physical, biological, ecological and behavioral events occur at times and rates that are exponentially distributed. Modeling these systems requires simulators that can accurately generate a large quantity of exponentially distributed random numbers, which is a computationally intensive task. To improve the performance of these simulators, one approach is to move portions of the computationally inefficient simulation tasks from software to custom hardware implemented in Field Programmable Gate Arrays (FPGAs). In this work, we study efficient FPGA implementations of exponentially dist

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35

Majumder, M. Mahbubul A. "On Tukey's gh family of distributions." Virtual Press, 2007. http://liblink.bsu.edu/uhtbin/catkey/1371472.

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Skewness and elongation are two factors that directly determine the shape of a probability distribution. Thus, to obtain a flexible distribution it is always desirable that the parameters of the distribution directly determine the skewness and elongation. To meet this purpose, Tukey (1977) introduced a family of distributions called g-and-h family (gh family) based on a transformation of the standard normal variable where g and h determine the skewness and the elongation, respectively. The gh family of distributions was extensively studied by Hoaglin (1985) and Martinez and Iglewicz (1984). Fo

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Lima, Stênio Rodrigues. "The half-normal generalized family and Kumaraswamy Nadarajah-Haghighi distribution." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/14917.

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Submitted by Isaac Francisco de Souza Dias (isaac.souzadias@ufpe.br) on 2016-01-15T19:29:39Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertacao-Stênio.pdf: 814092 bytes, checksum: b35ab296b97a20fb9607af8834520116 (MD5)<br>Made available in DSpace on 2016-01-15T19:29:39Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertacao-Stênio.pdf: 814092 bytes, checksum: b35ab296b97a20fb9607af8834520116 (MD5) Previous issue date: 2015-12-03<br>CAPES<br>As distribuições generalizadas t

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Gaonkar, Chetan Chandrakant. "Diversity, distribution and evolution of the planktonic diatom family Chaetocerotaceae." Thesis, Open University, 2017. http://oro.open.ac.uk/50352/.

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The number and abundance of diatom species in environmental samples are counted traditionally by means of light microscopy (LM). However, recognizing –let alone, counting- species is often challenging because of the existence of cryptic species and intraspecific phenotypic plasticity. Proper characterization requires isolation of cells, growing them into monoclonal cultures, and characterizing the cultures genetically and morphologically. However, not all species grow in culture, featureless ones are less likely to be isolated, and the procedure is laborious. High-throughput sequencing (HTS) m

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Azevedo, João Rolando Brás. "Geographic information systems applied to patient distribution for Family Health Teams." Master's thesis, Faculdade de Medicina da Universidade do Porto, 2011. http://hdl.handle.net/10216/62217.

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Karki, Shanta. "Distribution, proliferation, and transposition of mPing family transposons in genus Oryza." Kyoto University, 2009. http://hdl.handle.net/2433/123996.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第14684号<br>農博第1766号<br>新制||農||970(附属図書館)<br>学位論文||H21||N4457(農学部図書室)<br>UT51-2009-D396<br>京都大学大学院農学研究科農学専攻<br>(主査)教授谷坂隆俊, 教授遠藤隆, 教授冨永達<br>学位規則第4条第1項該当

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Azevedo, João Rolando Brás. "Geographic information systems applied to patient distribution for Family Health Teams." Dissertação, Faculdade de Medicina da Universidade do Porto, 2011. http://hdl.handle.net/10216/62217.

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Starvaggi, Patrick William. "Exact Distributions of Sequential Probability Ratio Tests." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1397042380.

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42

Nixon, Valerie. "Valuation and distribution of pension benefits under the Family Law Act, 1986." Thesis, University of Ottawa (Canada), 1991. http://hdl.handle.net/10393/7538.

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43

Kubrycht, Pavel. "Analýza síly testů hypotéz." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264617.

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This Thesis deals with the power of a statistical test and the associated problem of determining the appropriate sample size. It should be large enough to meet the requirements of the probabilities of errors of both the first and second kind. The aim of this Thesis is to demonstrate theoretical methods that result in derivation of formulas for minimum sample size determination. For this Thesis, three important probability distributions have been chosen: Normal, Bernoulli, and Exponential.

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Tchouta, Romual Eloge. "Estimating the Difference of Percentiles from Two Independent Populations." Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etd/1981.

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We first consider confidence intervals for a normal percentile, an exponential percentile and a uniform percentile. Then we develop confidence intervals for a difference of percentiles from two independent normal populations, two independent exponential populations and two independent uniform populations. In our study, we mainly focus on the maximum likelihood to develop our confidence intervals. The efficiency of this method is examined via coverage rates obtained in a simulation study done with the statistical software R.

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Berggren, Erik. "Improvement of Automotive Article Placement and Workload Distribution in Warehousing." Thesis, Högskolan i Jönköping, Tekniska Högskolan, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31171.

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Purpose – The purpose is to: Improve the efficiency of warehouses operations as well as reduce its workload imbalances by altering the warehouse layout and work zones at a storage area. This was done by answering the following research questions: What is the current state of the sites efficiency and workload imbalances? How can the warehouse layout be designed to increase the efficiency? How can warehouse work zones be altered to reduce workload imbalances? Method – The purpose was achieved through a case study at a vehicle manufacturing facility. By studying established methods of efficiency

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Fincher, Jayla Eileen. "Siblings and Inheritances: A Phenomenological Study Exploring the Relational Outcomes Following the Inheritance Distribution Process." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71695.

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The purpose of this study was to contribute to a more complete understanding of the family inheritance experience by exploring the perspectives of beneficiaries. This qualitative study aimed to describe and discuss how individuals' sibling relationships were impacted following the distribution process of an inheritance that was intended to be equally distributed. Eight individuals participated in semi-structured interviews, with areas of inquiry covering perceptions of challenges and benefits of the distribution process, fairness of the outcome of distribution among siblings, and the impact th

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Chua, Kim Chyang, and 蔡金強. "Simulation Study on Bayes Sequential Estimation for a Particular Exponential Family of Distributions." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/02673925730739216159.

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Tseng, Chung-Hung, and 曾仲宏. "Simulation Study of a Two-stage Procedure for a Particular Exponential Family of Distributions." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/34179284488514862204.

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Wen-Feng, Ou, and 歐文峰. "Second Order Approximation on Bayes Sequential Estimation for a Particular Exponential Family of Distributions." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/49433115702113337270.

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Sears, Timothy. "Generalized Maximum Entropy, Convexity and Machine Learning." Phd thesis, 2008. http://hdl.handle.net/1885/49355.

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This thesis identiﬁes and extends techniques that can be linked to the principle of maximum entropy (maxent) and applied to parameter estimation in machine learning and statistics. Entropy functions based on deformed logarithms are used to construct Bregman divergences, and together these represent a generalization of relative entropy. The framework is analyzed using convex analysis to charac- terize generalized forms of exponential family distributions. Various connections to the existing machine learning literature are discussed and the techniques are applied to the problem of non-negative m

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