Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Image 1

£44.15

CRC Press Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Name: Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Brand: CRC Press
Price: 44.15 GBP
Availability: InStock

Health, Family & Lifestyle

This is the usual price. Wait for it to drop, or tell us your number.

£44 today · usual range £0–£0 · best ever £36

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 606 days • 606 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 606 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £46 (266 days, 43.9%)

Price range: £36 - £46

Price levels: 7 different prices over 606 days

Description

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors’ recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The authors show how an IM produces meaningful prior-free probabilistic inference at a high level. The book covers the foundational motivations for this new IM approach, the basic theory behind its calibration properties, a number of important applications, and new directions for research. It discusses alternative, meaningful probabilistic interpretations of some common inferential summaries, such as p-values. It also constructs posterior probabilistic inferential summaries without a prior and Bayes’ formula and offers insight on the interesting and challenging problems of conditional and marginal inference. This book delves into statistical inference at a foundational level, addressing what the goals of statistical inference should be. It explores a new way of thinking compared to existing schools of thought on statistical inference and encourages you to think carefully about the correct approach to scientific inference. Review "The book . . . delivers on its promise. It should be read by all statisticians with an interest in the foundations and development of the statistical methods for inference."~Michael J. Lew, University of Melbourne " . . . the book covers the motivations for the IM framework, the basic theory behind its calibration properties, a number of its applications and gives a new way of thinking compared to existing schools of thought on statistical inference"~Apostolos Batsidis (Ioannina), Zentralblatt MATH About the Author Ryan Martin is an associate professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago. Chuanhai Liu is a professor in the Department of Statistics at Purdue University.

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 0367737809
Category: Books > Subjects > Health, Family & Lifestyle
Domain: Amazon UK
Release Date: 18 December 2020
Listed Since: 14 October 2020

Barcode

No barcode data available

CRC Press Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series)

Inferential Models: Reasoning with Uncertainty (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Examples and Problems in Mathematical Statistics (Wiley Series in Probability and Statistics)

Coding Ockham's Razor

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Exercises and Solutions in Statistical Theory: 99 (Chapman & Hall/CRC Texts in Statistical Science)

Seminal Ideas and Controversies in Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Seminal Ideas and Controversies in Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

M-statistics: Optimal Statistical Inference for a Small Sample

Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Modern Mathematical Statistics with Applications (Springer Texts in Statistics)

Introduction to Probabilistic and Statistical Methods with Examples in R: 176 (Intelligent Systems Reference Library, 176)

Statistical Theory: A Concise Introduction (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to the Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Probability and Statistical Inference: 100 (Statistics: A Series of Textbooks and Monographs)

Comparative Statistical Inference: 522 (Wiley Series in Probability and Statistics)

Theory of Stochastic Objects: Probability, Stochastic Processes and Inference (Chapman & Hall/CRC Texts in Statistical Science)

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists (Chapman & Hall/CRC Texts in Statistical Science)

Empirical Likelihood Methods in Biomedicine and Health - CRC Press

Statistical Inference: The Minimum Distance Approach: 120 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Utts & Heckard's Mind on Statistics