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Statistical Data Analysis and Entropy

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;

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Statistical Data Analysis and Entropy

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;

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Maximum Entropy and Bayesian Methods

Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;

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Maximum Entropy Econometrics

-estimation and inference. Seldom, however, are the economic and statistical models correctly specified, the data complete or capable of being;

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Maximum Entropy and Bayesian Methods in Applied Statistics

conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been;

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Symmetry Studies

decomposition of the data indexed by them, and the statistical analysis of the invariants induced by those decompositions. The overall purpose is to;

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Entropy Measures for Data Analysis

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Gibbs' Entropic Paradox and Problems of Separation Processes

substantiates it on the basis of physical and statistical principles. The book clearly shows that entropy consists of two parts, static and;

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Entropy and Non-Equilibrium Statistical Mechanics

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Statistical Inference Based on Divergence Measures

explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence;

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Statistical Inference Based on Divergence Measures

explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence;

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Thermal Physics & Statistical Mechanics

effect and in the experimental research of black holes evaporation. Moreover, Burg's maximum entropy, a method commonly used in data mining, can;

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Statistical Methods For Speech Recogniti

, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present;

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Statistical Foundations Of Entropy, The

This book presents an innovative unified approach to the statistical foundations of entropy and the fundamentals of equilibrium statistical;

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Fluctuation Theorems under Divergent Entropy Production and their Applications for Fundamental Problems in Statistical Physics

This book presents the derivation of the fluctuation theorems with divergent entropy production and their application to fundamental;

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Fluctuation Theorems under Divergent Entropy Production and their Applications for Fundamental Problems in Statistical Physics

This book presents the derivation of the fluctuation theorems with divergent entropy production and their application to fundamental;

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Analysis of Integrated Data

of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data;

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Analysis of Integrated Data

research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers;

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Statistical Analysis of Cost-Effectiveness Data

The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical;

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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles;

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Entropy Theory and its Application in Environmental and Water Engineering

important for urban planning and are presented with clarity. Maximum entropy spectral analysis and minimum cross entropy spectral analysis are;

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Machine Learning for Knowledge Discovery with R

thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world;

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Statistical Genomics

Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.;

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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases

unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;

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Statistical Implications of Turing's Formula

; ecology; and genetics. The author provides examinations of many core statistical issues within modern data science from Turing's perspective. A;

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Statistical Analysis with Missing Data

Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current;

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