The scope of the books in our Statistics collection is wide. The books encompass theory and methods, including Bayesian, spatial, regression, nonparametric, and multivariate techniques, as well as computational tools, such as R, SAS, Stata, and MATLAB®. The books also focus on key applications areas, such as medicine and epidemiology, genetics and bioinformatics, machine learning, data mining and Big Data, data science, reproducible research, the social and behavioral sciences, environmental science, business, finance, and economics.
Deborah Nolan, Duncan Temple Lang
April 21, 2015
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...
Alessio Farcomeni, Luca Greco
April 16, 2015
Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical...
Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen
April 16, 2015
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that...
Peter .J. Bickel, Kjell A. Doksum
April 13, 2015
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...
Alessandro Baldi Antognini, Alessandra Giovagnoli
April 06, 2015
Adaptive Designs for Sequential Treatment Allocation presents a rigorous theoretical treatment of the results and mathematical foundation of adaptive design theory. The book focuses on designing sequential randomized experiments to compare two or more treatments incorporating information accrued...
April 01, 2015
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...
Lise DeShea, Larry E. Toothaker
March 23, 2015
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets...
Shigeyuki Matsui, Marc Buyse, Richard Simon
March 19, 2015
Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics—from identifying...
March 16, 2015
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...
Vladimir I. Rotar
March 15, 2015
Barry C. Arnold
March 10, 2015
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...
Nicholas J. Horton, Ken Kleinman
March 10, 2015
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...
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