The Seven Pillars of Statistical Wisdom

This book PDF is perfect for those who love Social Science genre, written by Stephen M. Stigler and published by Harvard University Press which was released on 07 March 2016 with total hardcover pages 198. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related The Seven Pillars of Statistical Wisdom books below.

The Seven Pillars of Statistical Wisdom

Author	: Stephen M. Stigler
File Size	: 49,9 Mb
Publisher	: Harvard University Press
Language	: English
Release Date	: 07 March 2016
ISBN	: 9780674970212
Pages	: 198 pages

Get Book

The Seven Pillars of Statistical Wisdom by Stephen M. Stigler Book PDF Summary

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.

The Seven Pillars of Statistical Wisdom by Stephen M. Stigler

Get Book

The Seven Pillars of Statistical Wisdom by Stephen M. Stigler

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science. Even the most basic idea—aggregation, exemplified by averaging—is counterintuitive. It allows one to gain information by discarding information,

Get Book

Statistics on the Table by Stephen M. Stigler

This lively collection of essays examines statistical ideas with an ironic eye for their essence and what their history can tell us for current disputes. The topics range from 17th-century medicine and the circulation of blood, to the cause of the Great Depression, to the determinations of the shape of

Get Book

The History of Statistics by Stephen M. Stigler

Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences. His emphasis is upon how methods of probability theory were developed for measuring uncertainty, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences.

Get Book

The Calculus Story by David Acheson

"[Acheson] introduces the fundamental ideas of calculus through the story of how the subject developed, from approximating π to imaginary numbers, and from Newton's falling apple to the vibrations of an electric guitar."--Back cover

Get Book

Fisher Neyman and the Creation of Classical Statistics by Erich L. Lehmann

Classical statistical theory—hypothesis testing, estimation, and the design of experiments and sample surveys—is mainly the creation of two men: Ronald A. Fisher (1890-1962) and Jerzy Neyman (1894-1981). Their contributions sometimes complemented each other, sometimes occurred in parallel, and, particularly at later stages, often were in strong opposition. The

Get Book

Observation and Experiment by Paul Rosenbaum

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.

Get Book

Computer Age Statistical Inference by Bradley Efron,Trevor Hastie

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

Get Book