Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods - Image 1

£33.01

MIT Press Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods

Name: Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods
Brand: MIT Press
Price: 33.01 GBP
Availability: InStock

Multicolor

Technical Analysis

About as cheap as it gets. The only time it was cheaper was 4 months ago.

£33 today · all-time low £33 (Jan 2026) · usually the usual

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 621 days • 621 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 621 days • 8 price levels

Days at Price

Current Price

Price Analysis

Most common price: £47 (265 days, 42.7%)

Price range: £33 - £57

Price levels: 8 different prices over 621 days

Description

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical statistics. The book first covers elementary probability theory, the binomial model, the multinomial model, and methods for comparing different experimental conditions or groups. It then turns its focus to distribution-free statistics that are based on having ranked data, examining data from experimental studies and rank-based correlative methods. Each chapter includes exercises that help readers achieve a more complete understanding of the material. The book devotes considerable attention not only to the linkage of statistics to practices in experimental science but also to the theoretical foundations of statistics. Frequentist statistical practices often violate their own theoretical premises. The beauty of Bayesian statistics, readers will learn, is that it is an internally coherent system of scientific inference that can be proved from probability theory.

Product Specifications

Brand: MIT Press
Colour: Multicolor
Format: Hardcover
ASIN: 0262044587
Category: Books > Subjects > Business, Finance & Law > Personal Finance > Technical Analysis
Domain: Amazon UK
Release Date: 08 September 2020
Listed Since: 09 February 2020

Barcode

No barcode data available

MIT Press Bayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methods

About as cheap as it gets. The only time it was cheaper was 4 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

Elementary Bayesian Biostatistics (Chapman & Hall/CRC Biostatistics Series)

Bayesian Approaches to Clinical Trials and Health-Care Evaluation: 13 (Statistics in Practice)

The Bayesian Way: Introductory Statistics for Economists and Engineers

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Chapman & Hall/CRC Texts in Statistical Science)

Elementary Bayesian Biostatistics: 21 (Chapman & Hall/CRC Biostatistics Series)

Bayesian Statistics for Beginners: a step-by-step approach

A Student’s Guide to Bayesian Statistics

Bayesian Statistical Modelling, 2nd Edition

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)

Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)

An Introduction to Bayesian Analysis: Theory and Methods (Springer Texts in Statistics)

Objective Bayesian Inference

Wiley Biostatistics: A Bayesian Introduction - 499 Series

Bayesian Theory: 316 (Wiley Series in Probability and Statistics)

Bayesian Data Analysis for Animal Scientists: The Basics

The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science

Bayesian Methods in Statistics: From Concepts to Practice

Bayesian Inference and Computation in Reliability and Survival Analysis (Emerging Topics in Statistics and Biostatistics)

Bayesian Meta-Analysis: A Practical Introduction

Current Trends in Bayesian Methodology with Applications

Introduction to Bayesian Methods in Ecology and Natural Resources

Bayesian Data Analysis for the Behavioral and Neural Sciences: Non-Calculus Fundamentals

Bayesian Thinking, Modeling and Computation (Volume 25) (Handbook of Statistics, Volume 25)