Probability & statistics

    Statistics with R: A Beginner\'s Guide

    By Robert Stinerock

    Paperback £32.03

    This dynamic, student-focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool.

    Statistics, Global Edition

    By James T. McClave

    Paperback £58.87

    For courses in introductory statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied-McClave & Sincich's Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the...

    First Course in Statistics, Global Edition

    By James T. McClave

    Paperback £57.05

    For courses in introductory statistics. This package includes Pearson MyLab Statistics. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data...

    First Course in Statistics plus MyStatLab with Pearson eText

    By James T. McClave

    Hardback £66.20

    For courses in introductory statistics. This package includes MyStatLab TM. A Contemporary Classic Classic, yet contemporary; theoretical, yet applied--McClave & Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout....

    Observation and Experiment

    By Paul R. Rosenbaum

    Hardback £24.17

    In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples.

    Graphical Models for Categorical Data

    By Alberto Roverato

    Paperback £27.23

    For advanced students of network data science, this compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this context, it achieves a unified presentation of classical and...

    Improbable Destinies

    By Jonathan Losos

    Hardback Save £5.54 = £14.46

    A dazzling tour of evolution in action that sheds light on one of the greatest debates in science The natural world is full of fascinating instances of convergence: phenomena like eyes and wings and tree-climbing lizards that have evolved independently, multiple times. Convergence suggests that evolution is predictable, and if...

    Field Guide to Lies and Statistics

    By Daniel Levitin

    Paperback £8.45

    A guide to critical thinking in the 'post-truth' era, from the author of Sunday Times best-seller The Organized Mind We live in a world of information overload. Facts and figures on absolutely everything are at our fingertips, but are too often biased, distorted, or outright lies. From unemployment figures to...

    Analysis of Repeated Measures Data

    By M. Ataharul Islam

    Hardback £58.45

    This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand...

    Handbook for Applied Modeling: Non-Gaussian and Correlated D

    By Jamie D. Riggs

    Paperback £27.80

    Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.

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