The art of statistics : how to learn from data / David Spiegelhalter

By: Spiegelhalter, David [author]Material type: TextTextPublication details: New York : Basic Books, c2021Edition: First US Trade Paperback EditionDescription: xvi, 426 pages ; 21 cmISBN: 978-1-5416-7570-4Subject(s): STATISTICS -- POPULAR WORKSLOC classification: QA 276.12 S65 2021
Contents:
Introduction -- Chapter 14 Getting things in proportion : categorical data and percentages -- Chapter 2 Summarizing and communicating numbers. Lots of numbers -- Chapter 3 Why are we looking at data anyway? populations and measurement -- Chapter 4 what causes what? Chapter 5 Modelling relationships using regression -- Chapter 6 Algorithms, analytics and prediction -- Chapter 7 How sure can we be about what is going on? estimates and intervals -- Chapter 8 Probability - the language of uncertainty and variability -- Chapter 9 Putting probability and statistics together -- Chapter 10 Answering questions and claiming discoveries -- Chapter 11 Learning from experience the Bayesian way -- Chapter 12 How things go wrong -- Chapter 13 How we can so statistics better -- Chapter 14 In conclusion -- Glossary -- Notes -- Index.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Shelving location Call number Status Date due Barcode
Books Books NU Fairview College LRC
NU Fairview College LRC
Non-fiction General Circulation GC QA 276.12 S65 2021 (Browse shelf(Opens below)) Available NUFAI000004385

Includes index.

Introduction -- Chapter 14 Getting things in proportion : categorical data and percentages -- Chapter 2 Summarizing and communicating numbers. Lots of numbers -- Chapter 3 Why are we looking at data anyway? populations and measurement -- Chapter 4 what causes what? Chapter 5 Modelling relationships using regression -- Chapter 6 Algorithms, analytics and prediction -- Chapter 7 How sure can we be about what is going on? estimates and intervals -- Chapter 8 Probability - the language of uncertainty and variability -- Chapter 9 Putting probability and statistics together -- Chapter 10 Answering questions and claiming discoveries -- Chapter 11 Learning from experience the Bayesian way -- Chapter 12 How things go wrong -- Chapter 13 How we can so statistics better -- Chapter 14 In conclusion -- Glossary -- Notes -- Index.

There are no comments on this title.

to post a comment.

© 2023 NU LRC FAIRVIEW. All rights reserved. Privacy Policy I Powered by: KOHA