Statistical Software Engineering
Statistical Software Engineering
Probability Theory The Logic of Science (E.T. Jaynes)
Probability Theory The Logic of Science (E.T. Jaynes)
Applied Probability (Tina Kapur, Rajeev Surati) Online Books
Applied Probability (Tina Kapur, Rajeev Surati)
Online Books
Machine Learning, Neural and Statistical Classification (D. Michie, D. Spiegelhalter, C. Taylor)
Machine Learning, Neural and Statistical Classification (D. Michie, D. Spiegelhalter, C. Taylor)
Randomness and Optimal Estimation in Data Sampling, 2nd edition, 2002, (M. Khosnevisan, et al)
Randomness and Optimal Estimation in Data Sampling, 2nd edition, 2002, (M. Khosnevisan, et al)
SAS Tutorials
SAS Tutorials
SAS for Windows and the Analyst Application
SAS for Windows and the Analyst Application
Statistics for the Life Sciences
The style of Statistics for the Life Sciences is informal and uses only minimal mathematical notation. There are no prerequisites except elementary algebra; anyone who can read a biology or chemistry textbook can read this text. It is suitable for use by graduate or undergraduate students in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry and other life sciences.
Elementary Statistics: A Step by Step Approach
Elementary Statistics: A Step by Step Approach is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.
Basic Business Statistics
Berenson shows readers how statistics is used in each functional area of business. Basic Business Statistics shows the relevance of statistics by familiarizing readers with the statistical applications used in the business world, providing clear instructions for using statistical applications, and offering ample opportunities for practice. The twelfth edition has built on the application emphasis and provides enhanced coverage of statistics.
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Engineering Statistics Handbook
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