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Statistics & Probability Books

You are currently browsing 21–30 of 1,035 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 3

  1. Statistical Methods in Drug Combination Studies

    Edited by Wei Zhao, Harry Yang

    Series: Chapman & Hall/CRC Biostatistics Series

    The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in...

    Published December 19th 2014 by Chapman and Hall/CRC

  2. Mathematics for Finance, Business and Economics

    By Irénée Dondjio, Wouter Krasser

    Mastering the basic concepts of mathematics is the key to understanding other subjects such as Economics, Finance, Statistics, and Accounting. Mathematics for Finance, Business and Economics is written informally for easy comprehension. Unlike traditional textbooks it provides a combination of...

    Published December 19th 2014 by Routledge

  3. Mathematics for Economists with Applications

    By James Bergin

    Mathematics for Economists with Applications provides detailed coverage of the mathematical techniques essential for undergraduate and introductory graduate work in economics, business and finance. Beginning with linear algebra and matrix theory, the book develops the techniques of univariate and...

    Published December 18th 2014 by Routledge

  4. Pseudolinear Functions and Optimization

    By Shashi Kant Mishra, Balendu Bhooshan Upadhyay

    Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex functions. It discusses the properties, characterizations, and applications of pseudolinear functions in nonlinear optimization problems. The book describes the...

    Published December 18th 2014 by Chapman and Hall/CRC

  5. Design and Analysis of Experiments with R

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data,...

    Published December 17th 2014 by Chapman and Hall/CRC

  6. Introduction to High-Dimensional Statistics

    By Christophe Giraud

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing...

    Published December 17th 2014 by Chapman and Hall/CRC

  7. Statistics in MATLAB

    A Primer

    By MoonJung Cho, Wendy L. Martinez

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Fulfilling the need for a practical user’s guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB® and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of...

    Published December 15th 2014 by Chapman and Hall/CRC

  8. Bayesian Methods

    A Social and Behavioral Sciences Approach, Third Edition

    By Jeff Gill

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third...

    Published December 11th 2014 by Chapman and Hall/CRC

  9. Generalized Structured Component Analysis

    A Component-Based Approach to Structural Equation Modeling

    By Heungsun Hwang, Yoshio Takane

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the...

    Published December 11th 2014 by Chapman and Hall/CRC

  10. Inference Principles for Biostatisticians

    By Ian C. Marschner

    Series: Chapman & Hall/CRC Biostatistics Series

    Designed for students training to become biostatisticians as well as practicing biostatisticians, Inference Principles for Biostatisticians presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent core...

    Published December 11th 2014 by Chapman and Hall/CRC