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Forthcoming Statistics & Probability Books

You are currently browsing 1–10 of 166 forthcoming new books in the subject of Statistics & Probability — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. Regression Analysis for the Social Sciences

    2nd Edition

    By Rachel A. Gordon

    Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for...

    To Be Published March 8th 2015 by Routledge

  2. Mendelian Randomization

    Methods for Using Genetic Variants in Causal Estimation

    By Stephen Burgess, Simon G. Thompson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

    To Be Published March 9th 2015 by Chapman and Hall/CRC

  3. Pareto Distributions Second Edition

    By Barry C. Arnold

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

    Since the publication of the first edition over 30 years ago, the literature related to Pareto distributions has flourished to encompass computer-based inference methods. Pareto Distributions, Second Edition provides broad, up-to-date coverage of the Pareto model and its extensions. This edition...

    To Be Published March 9th 2015 by Chapman and Hall/CRC

  4. Introduction to Theory of Control in Organizations

    By Vladimir N. Burkov, Mikhail Goubko, Nikolay Korgin, Dmitry Novikov

    Series: Systems Evaluation, Prediction, and Decision-Making

    Introduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach to management science by introducing...

    To Be Published March 9th 2015 by CRC Press

  5. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the...

    To Be Published March 11th 2015 by Chapman and Hall/CRC

  6. Actuarial Models

    The Mathematics of Insurance, Second Editon, 2nd Edition

    By Vladimir I. Rotar

    To Be Published March 14th 2015 by Chapman and Hall/CRC

  7. Understanding Political Science Statistics

    Observations and Expectations in Political Analysis

    By Peter Galderisi

    In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular...

    To Be Published March 17th 2015 by Routledge

  8. Statistical Reinforcement Learning

    Modern Machine Learning Approaches

    By Masashi Sugiyama

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for...

    To Be Published March 24th 2015 by Chapman and Hall/CRC

  9. Bayesian Inference for Partially Identified Models

    Exploring the Limits of Limited Data

    By Paul Gustafson

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

    Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years...

    To Be Published March 30th 2015 by Chapman and Hall/CRC

  10. Data Science in R

    A Case Studies Approach to Computational Reasoning and Problem Solving

    By Deborah Nolan, Duncan Temple Lang

    Series: Chapman & Hall/CRC The R Series

    Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the...

    To Be Published April 1st 2015 by Chapman and Hall/CRC