Markov chain Monte Carlo in practice
by Spiegelhalter, D. J., Gilks, W. R., Richardson, S.
In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood estimators and Bayesian posterior inference does not apply, and new foundations and ideas have been developed in the past several decades. T…
Textformat="02"] A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT. In each chapter, the basic model and its nume
Sensory evaluation techniques
by Meilgaard, Morten, Civille, Gail Vance, Carr, B. Thomas
Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regressio…
Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of pr…
Praise for the first edition: "This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user ... A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate st…
To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses. The …
Monte Carlo statistical methods
by Robert, Christian P., Casella, George
fromSpringer Texts in Statistics
This textbook offers worked examples and exercises. The authors discuss Monte Carlo optimization and convergence diagnostics, going through many relevant references.
Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illus…
Solved problems in geostatistics
by Leuangthong, Oy, Khan, K. Daniel, Deutsch, Clayton V.
Solved Problems in Geostatistics brings together exercises and projects that demonstrate key principles and build strong bridges between theory and practice. Each chapter focuses on a comprehensive topic with examples and problems for a technologically evolving audience. Problem…
Marketing Research: An Integrated Approach, 3rd Edition, is invaluable for anyone studying marketing research at a degree or diploma level and is core reading for those students taking the joint module on Marketing Research and Information offered by the Chartered Institute of M…
Marketing Research: An Integrated Approach, 3rd Edition, is invaluable for anyone studying marketing research at a degree or diploma level and is core reading for those students taking the joint module on Marketing Research and Information offered by the Chartered Institute of M…
