Regression and Other Stories

Regression and Other Stories
Andrew Gelman, Jennifer Hill, Aki Vehtari
RRP:
NZ$ 72.95
Our Price:
NZ$ 65.65
Paperback
h245 x 189mm - 548pg
23 Jul 2020 UK
International import eta 7-19 days
9781107676510
Out Of Stock
Currently no stock in-store, stock is sourced to your order

Click to view other formats:
9781107023987 UK Hardback $138.56

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

Regression and Other Stories

' Gelman, Hill and Vehtari provide an introductory regression book that hits an amazing trifecta: it motivates regression using real data examples, provides the necessary (but not superfluous) theory, and gives readers tools to implement these methods in their own work. The scope is ambitious - including introductions to causal inference and measurement - and the result is a book that I not only look forward to teaching from, but also keeping around as a reference for my own work. ' Elizabeth Tipton, Northwestern University ' Regression and Other Stories is simply the best introduction to applied statistics out there. Filled with compelling real-world examples, intuitive explanations, and practical advice, the authors offer a delightfully modern perspective on the subject. It' s an essential resource for students and practitioners across the statistical and social sciences. ' Sharad Goel, Department of Management Science and Engineering, Stanford University ' With modern software it is very easy to fit complex regression models, and even easier to get their interpretation completely wrong. This wonderful book, summarising the authors' years of experience, stays away from mathematical proofs, and instead focuses on the insights to be gained by careful plotting and modelling of data. In particular the chapters on causal modelling, and the challenges of working with selected samples, provide some desperately needed lessons. ' David Spiegelhalter, University of Cambridge ' Gelman and Hill, have done it again, this time with Aki Vehtari. They have written a textbook that should be on every applied quantitative researcher' s bookshelf. Most importantly they explain how to do and interpret regression with real world, complicated examples. Practicing academics in addition to students will benefit from giving this book a close read. ' Christopher Winship, Harvard University, Massachusetts
The authors are experienced researchers who have published articles in hundreds of different scientific journals in fields including statistics, computer science, policy, public health, political science, economics, sociology, and engineering. They have also published articles in the Washington Post, New York Times, Slate, and other public venues. Their previous books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, and Data Analysis and Regression Using Multilevel/Hierarchical Models. Andrew Gelman is Higgins Professor of Statistics and Professor of Political Science at Columbia University. Jennifer Hill is Professor of Applied Statistics at New York University. Aki Vehtari is Associate Professor in Computational Probabilistic Modeling at Aalto University, Finland.
Status: Active
ISBN-13: 9781107676510
Published: 23 Jul 2020
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Paperback
Height: 245mm
Width: 189mm
Spine: 30mm
Weight: 1060g
Pages: 548

In stock - for items in stock we aim to dispatch the next business day. For delivery in NZ allow 2-5 business days, with rural taking a wee bit longer.

Locally sourced in NZ - stock comes from a NZ supplier with an approximate delivery of 7-15 business days.

International Imports - stock is imported into NZ, depending on air or sea shipping option from the international supplier stock can take 10-30 working days to arrive into NZ. 

Pre-order Titles - delivery will vary depending on where the title is published, if local stock is available in NZ then 5-7 business days, for international imports it can be 10-30 business days. In all cases we will access the quickest supply option.

Delivery Packaging - we ship all items in cardboard sleeves or by box with either packing paper or corn starch chips. (We avoid using plastics bubble bags)

Tracking - Orders are delivered by track and trace courier and are fully insured, tracking information will be sent by email once dispatched.

View our full Order & Delivery information

Details of the product above will be automatically included with your enquiry.