Exploring the application and formulation of theEMalgorithmTheEMAlgorithm...Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation...more
Exploring the application and formulation of theEMalgorithmTheEMAlgorithm...Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation...more
Exploring the application and formulation of theEMalgorithmTheEMAlgorithm...Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation...more
Exploring the application and formulation of theEMalgorithmTheEMAlgorithm...Exploring the application and formulation of the EM algorithm The EM Algorithm and Related Statistical Models offers a valuable method for constructing statistical models when only incomplete information is available and proposes specific estimation...more
Along with many practical applications Bayesian Model Selection and Statistica...Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian...more
Along with many practical applications this book presents an array of Bayesian...Along with many practical applications this book presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian model selection criteria through examples...more
Along with many practical applications Bayesian Model Selection and Statistica...Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian...more
Along with many practical applications Bayesian Model Selection and Statistica...Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian...more
Textbook for a methods course or reference for an experimenter who is mainly i...Textbook for a methods course or reference for an experimenter who is mainly interested in data analyses rather than in the mathematical development of the procedures. Provides the most useful statistical techniques not only for the normal...more
Demonstrates ways to track industrial processes and performance integrating re...Demonstrates ways to track industrial processes and performance integrating related areas such as engineering process control statistical reasoning in TQM robust parameter design control charts multivariate process monitoring capability indices...more
A state-of-the-art handbook of statistical analysis for use in the pharmaceuti...A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability repeated-measures designs dose-response population models multicenter trials handling dropouts...more
This work details the fundamentals of applied statisticsand experimental desi...This work details the fundamentals of applied statistics and experimental design presenting a unified approach to data handling that emphasizes the analysis of variance regression analysis and the use of Statistical Analysis System computer...more
Examining the strengths and limitations of various standards of accuracy in cl...Examining the strengths and limitations of various standards of accuracy in clinical laboratory analyses this detailed reference presents an in-depth study of important theoretical and empirical issues concerning the description collection and...more
Focusing on group sequential procedures summarizes the sequential statistical ...Focusing on group sequential procedures summarizes the sequential statistical methods used in anticancer antiviral cardiovascular and gastrointestinal drug research and screening. The clinical and preclinical applications are mainly presented as...more
Organized in systematic way Statistical Inference Based on Divergence Measures...Organized in systematic way Statistical Inference Based on Divergence Measures presents classical problems of statistical inference such as estimation and hypothesis testing on the basis of measures of entropy and divergence with applications to...more