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Forthcoming Statistics & Probability Books

You are currently browsing 11–20 of 111 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 – Page 2

  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 February 24th 2015 by Routledge

  2. Introduction to Theory of Control in Organizations

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

    Series: Systems Evaluation, Prediction, and Decision-Making

    This book explains how the methodology of systems analysis and mathematical methods of control theory (including game theory and graph theory) can be applied to the area of organizational management. The theory presented extends the traditional approach of management science by introducing the...

    To Be Published March 9th 2015 by CRC Press

  3. 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

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

    By Nicholas J. Horton, Ken Kleinman

    This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following...

    To Be Published March 16th 2015 by Chapman and Hall/CRC

  5. Data Science in R

    A Case Studies Approach to Computational Reasoning and Problem Solving

    Edited by Deborah Nolan, Duncan Temple Lang

    Series: Chapman & Hall/CRC The R Series

    This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explaining the reasoning behind them. The case studies can serve as material for instructors teaching...

    To Be Published March 17th 2015 by Chapman and Hall/CRC

  6. Bayesian Inference for Partially Identified Models

    Exploring the Limits of Limited Data

    By Paul Gustafson

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

    Many observational studies in epidemiology and other disciplines face inherent limitations in study design and data quality, such as selection bias, unobserved variables, and poorly measured variables. Accessible to statisticians and researchers from various disciplines, this book presents an...

    To Be Published March 19th 2015 by Chapman and Hall/CRC

  7. Statistics for Finance

    By Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Bridging the gap between theoretical books on stochastic finance and applied books on financial engineering, this text provides an introduction to statistical methods for finance. Designed for mathematics and statistics students, the book discusses the role that statistics and mathematics play in...

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

  8. Statistical Reinforcement Learning

    Modern Machine Learning Approaches

    By Masashi Sugiyama

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

    Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and game players have been successfully explored in recent years. Providing an accessible introduction...

    To Be Published March 26th 2015 by Chapman and Hall/CRC

  9. Adaptive Designs for Sequential Treatment Allocation

    By Alessandro Baldi Antognini, Alessandra Giovagnoli

    Series: Chapman & Hall/CRC Biostatistics Series

    Adaptive experimental designs are sequential procedures for collecting data. In each step, the observer can use all of the information gathered to determine whether to stop or carry on with the study. This book focuses on recently developed methods in adaptive randomization for treatment allocation...

    To Be Published April 7th 2015 by Chapman and Hall/CRC

  10. Linear and Integer Optimization

    Theory and Practice, Third Edition

    By Gerard Sierksma, Yori Zwols

    Series: Advances in Applied Mathematics

    Linear optimization, also commonly called linear programming, is a widely used tool for transforming a real-life decision problem into a mathematical model, for designing algorithms to analyze the model, and for solving the real-life problem. Taking a more contemporary approach, this edition is...

    To Be Published April 7th 2015 by Chapman and Hall/CRC