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Eugene D. Hahn Bayesian Methods for Management and Business

Eugene D. Hahn Bayesian Methods for Management and Business

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an

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Machine Learning: Bayesian and Optimization Methods, 2nd Edition

Machine Learning: Bayesian and Optimization Methods, 2nd Edition

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Ka-Veng  Yuen Bayesian Methods for Structural Dynamics and Civil Engineering

Ka-Veng Yuen Bayesian Methods for Structural Dynamics and Civil Engineering

Bayesian methods are a powerful tool in many areas of science and engineering, especially

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Guosheng  Yin Clinical Trial Design. Bayesian and Frequentist Adaptive Methods

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A balanced treatment of the theories, methodologies, and design issues involved in clinical trials

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Guosheng  Yin Clinical Trial Design. Bayesian and Frequentist Adaptive Methods

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A balanced treatment of the theories, methodologies, and design issues involved in clinical trials

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Группа авторов Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

Группа авторов Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

The first all-inclusive introduction to modern statistical research methods in the natural resource

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Группа авторов Bayesian Methods and Ethics in a Clinical Trial Design

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How to conduct clinical trials in an ethical and scientifically responsible manner This book

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David  Gold Bayesian Analysis of Gene Expression Data

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The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new

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Idier J?r?me Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

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The focus of this book is on «ill-posed inverse problems». These problems cannot be solved only on

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Rob  McCulloch Bayesian Statistics and Marketing

Rob McCulloch Bayesian Statistics and Marketing

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in

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Группа авторов Bayesian Models for Categorical Data

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The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as

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William M. Bolstad Introduction to Bayesian Statistics

William M. Bolstad Introduction to Bayesian Statistics

"…this edition is useful and effective in teaching Bayesian inference at both elementary and

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Simon  Jackman Bayesian Analysis for the Social Sciences

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Bayesian methods are increasingly being used in the social sciences, as the problems encountered

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Группа авторов Bayesian Statistical Modelling

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Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to

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Eugene  Mazzola Nuclear Magnetic Resonance Spectroscopy. An Introduction to Principles, Applications, and Experimental Methods

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Combines clear and concise discussions of key NMR concepts with succinct and illustrative examples

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Arkady Shemyakin Introduction to Bayesian Estimation and Copula Models of Dependence

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Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and

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James V. Candy Bayesian Signal Processing

James V. Candy Bayesian Signal Processing

Presents the Bayesian approach to statistical signal processing for a variety of useful model sets

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Lawson Andrew B. Bayesian Biostatistics

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The growth of biostatistics has been phenomenal in recent years and has been marked by considerable

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Larry Roper D. Research Methods and Applications for Student Affairs

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Franco Taroni Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

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"This book should have a place on the bookshelf of every forensic scientist who cares about the

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Python Bayesian Analysis

Python Bayesian Analysis

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Ruben Gonzalez Process Control System Fault Diagnosis

Ruben Gonzalez Process Control System Fault Diagnosis

Process Control System Fault Diagnosis: A Bayesian Approach Ruben T. Gonzalez, University of

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Дэвид Шпигельхалтер Bayesian Approaches to Clinical Trials and Health-Care Evaluation

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READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin

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Delena Spann D. Fraud Analytics. Strategies and Methods for Detection and Prevention

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Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and

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Penrod Steven D. Research Methods in Forensic Psychology

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The only professional resource to focus exclusively on research methods in forensic psychology With

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Costas D. Maranas Optimization Methods in Metabolic Networks

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Provides a tutorial on the computational tools that use mathematical optimization concepts and

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Bruce  Marcot Bayesian Networks

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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are

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Michael  Goldstein Bayes Linear Statistics

Michael Goldstein Bayes Linear Statistics

Bayesian methods combine information available from data with any prior information available from

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Группа авторов Multiple Imputation for Nonresponse in Surveys

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Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing

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Nicola  Cooper Evidence Synthesis for Decision Making in Healthcare

Nicola Cooper Evidence Synthesis for Decision Making in Healthcare

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to

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Peter Lee M. Bayesian Statistics. An Introduction

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Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a

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Группа авторов Contemporary Bayesian Econometrics and Statistics

Группа авторов Contemporary Bayesian Econometrics and Statistics

Tools to improve decision making in an imperfect world This publication provides readers with a

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Michael Ting Molecular Imaging in Nano MRI

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The authors describe a technique that can visualize the atomic structure of molecules, it is

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Dehmer Matthias Statistical Diagnostics for Cancer. Analyzing High-Dimensional Data

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This ready reference discusses different methods for statistically analyzing and validating data

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Gerald J. Hahn Statistical Intervals

Gerald J. Hahn Statistical Intervals

Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs

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William Bolstad M. Understanding Computational Bayesian Statistics

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A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid

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