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Statistics & Probability Books

You are currently browsing 1–10 of 922 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

  1. Categorical and Nonparametric Data Analysis

    Choosing the Best Statistical Technique

    By E. Michael Nussbaum

    Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions,...

    Published July 29th 2014 by Routledge

  2. Introduction to Probability

    By Joseph K. Blitzstein, Jessica Hwang

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google...

    Published July 24th 2014 by Chapman and Hall/CRC

  3. Multivariate Bonferroni-Type Inequalities

    Theory and Applications

    By John Chen

    Multivariate Bonferroni-Type Inequalities: Theory and Applications presents a systematic account of research discoveries on multivariate Bonferroni-type inequalities published in the past decade. The emergence of new bounding approaches pushes the conventional definitions of optimal inequalities...

    Published July 22nd 2014 by Chapman and Hall/CRC

  4. Principles of Scientific Methods

    By Mark Chang

    Principles of Scientific Methods focuses on the fundamental principles behind scientific methods. The book refers to "science" in a broad sense, including natural science, physics, mathematics, statistics, social science, political science, and engineering science. A principle is often abstract and...

    Published July 22nd 2014 by Chapman and Hall/CRC

  5. Linear Mixed Models

    A Practical Guide Using Statistical Software, Second Edition

    By Brady T. West, Kathleen B. Welch, Andrzej T Galecki

    Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues...

    Published July 17th 2014 by Chapman and Hall/CRC

  6. SAS and R

    Data Management, Statistical Analysis, and Graphics, Second Edition

    By Ken Kleinman, Nicholas J. Horton

    An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis,...

    Published July 17th 2014 by Chapman and Hall/CRC

  7. Statistical Studies of Income, Poverty and Inequality in Europe

    Computing and Graphics in R using EU-SILC

    By Nicholas T. Longford

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

    There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and...

    Published July 7th 2014 by Chapman and Hall/CRC

  8. Data Analysis and Approximate Models

    Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis

    By Patrick Laurie Davies

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

    The First Detailed Account of Statistical Analysis That Treats Models as Approximations The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist...

    Published July 7th 2014 by Chapman and Hall/CRC

  9. Linear Models with R, Second Edition

    By Julian J. Faraway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...

    Published July 1st 2014 by Chapman and Hall/CRC

  10. Dependence Modeling with Copulas

    By Harry Joe

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

    Dependence Modeling with Copulas covers the substantial advances that have taken place in the field during the last 15 years, including vine copula modeling of high-dimensional data. Vine copula models are constructed from a sequence of bivariate copulas. The book develops generalizations of vine...

    Published June 26th 2014 by Chapman and Hall/CRC