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Statistics & Probability Books

You are currently browsing 41–50 of 939 new and published books in the subject of Statistics & Probability — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 5

  1. Robust Response Surfaces, Regression, and Positive Data Analyses

    By Rabindra Nath Das

    Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and...

    Published May 21st 2014 by Chapman and Hall/CRC

  2. Quantitative Finance

    A Simulation-Based Introduction Using Excel

    By Matt Davison

    Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not...

    Published May 8th 2014 by Chapman and Hall/CRC

  3. Latent Variable Modeling Using R

    A Step-by-Step Guide

    By A. Alexander Beaujean

    This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected...

    Published May 6th 2014 by Routledge

  4. Bayesian Analysis with Stata

    By John Thompson

    Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for...

    Published May 6th 2014 by Stata Press

  5. Test Fraud

    Statistical Detection and Methodology

    Edited by Neal Kingston, Amy Clark

    Series: Routledge Research in Education

    There has been an increase in awareness (and perhaps occurrence) of individual and organized cheating on tests. Recent reports of widespread problems with state student accountability tests and teacher certification testing have raised questions about the very validity of assessment programs. While...

    Published April 28th 2014 by Routledge

  6. Speaking Stata Graphics

    A Collection from the Stata Journal

    By Nicholas J. Cox

    Speaking Stata Graphics is ideal for researchers who want to produce effective, publication-quality graphs. A compilation of articles from the popular Speaking Stata column by Nicholas J. Cox, this book provides valuable insights about Stata's built-in and user-written statistical-graphics commands....

    Published April 28th 2014 by Stata Press

  7. One Hundred Nineteen Stata Tips, Third Edition

    By Nicholas J. Cox, H. Joseph Newton

    One Hundred Nineteen Stata Tips provides concise and insightful notes about commands, features, and tricks that will help you obtain a deeper understanding of Stata. The book comprises the contributions of the Stata community that have appeared in the Stata Journal since 2003....

    Published April 28th 2014 by Stata Press

  8. A Gentle Introduction to Stata, Fourth Edition

    By Alan C. Acock

    A Gentle Introduction to Stata, Fourth Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset, and perform...

    Published April 18th 2014 by Stata Press

  9. Scale in Spatial Information and Analysis

    By Jingxiong Zhang, Peter Atkinson, Michael F. Goodchild

    Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for...

    Published April 15th 2014 by CRC Press

  10. Implementing Reproducible Research

    Edited by Victoria Stodden, Friedrich Leisch, Roger D. Peng

    Series: Chapman & Hall/CRC The R Series

    In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must...

    Published April 14th 2014 by Chapman and Hall/CRC