Statistical Treatment of Experimental Data
by Hugh D. Young
Publisher: McGraw Hill 1962
Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental measurements and data. The author describes the physical bases on which statistical theories are developed, and derives from them useful mathematical results and formulas for the evaluation and analysis of experimental data. Special mathematical techniques are explained as they are needed.
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The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible. Many parts of the book feature case studies or examples with computations from the free downloadable software.
by Howard J. Seltman - Carnegie Mellon University
This book is intended as required reading material for the course Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences...
by Michael Falk at al. - University of Wuerzburg
This book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. The book addresses students of statistics, economics, demography, engineering.
by James E. Gentle - George Mason University
This document is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.