Experimental Design and Analysis
by Howard J. Seltman
Publisher: Carnegie Mellon University 2012
Number of pages: 428
Description:
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 at Carnegie Mellon University.
Download or read it online for free here:
Download link
(4.2MB, PDF)
Similar books
Differential Geometrical Theory of Statisticsby Frederic Barbaresco, Frank Nielsen (eds) - MDPI AG
Contents: Geometric Thermodynamics of Jean-Marie Souriau; Koszul-Vinberg Model of Hessian Information Geometry; Divergence Geometry and Information Geometry; Density of Probability on manifold and metric space; Statistics on Paths and Manifolds; etc.
(7815 views)
Beginning Statisticsby Douglas S. Shafer, Zhiyi Zhang - lardbucket.org
This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market.
(9753 views)
Lectures on Statisticsby Robert B. Ash - University of Illinois
These notes are based on a course that the author gave at UIUC. No prior knowledge of statistics is assumed. A standard first course in probability is a prerequisite, but the first 8 lectures review results that are important in statistics.
(19414 views)
Computer Age Statistical Inference: Algorithms, Evidence, and Data Scienceby Bradley Efron, Trevor Hastie - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(5820 views)