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Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
A Classic adapted to modern times Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.
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Statistics of Random Processes
Springer; 2nd edition | December 12, 2000 | ISBN-10: 3540639292 | 400 pages | PDF | 5.36 MB
These volumes cover non-linear filtering (prediction and smoothing)
theory and its applications to the problem of optimal estimation,
control with incomplete data, information theory, and sequential testing
of hypothesis. Also presented is the theory of martingales, of interest
to those who deal with problems in financial mathematics. These
editions include new material, expanded chapters, and comments on recent
progress in the field.
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The Complete Idiot's Guide to Statistics, 2nd Edition by: Jr., Ph.D., Robert A. Donnelly
Complete Idiot's Guide to (2007) | ISBN: 142951390X | 538 pages | PDF | 10 MB
Not a numbers person? No problem! This new edition is aimed at high school and college students who need to take statistics to fulfill a degree requirement and follows a standard statistics curriculum. Readers will find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation; probability; and more. —Emphasizes Microsoft Excel for number-crunching and computations
Contents
Part 1: Basics
1: Let's get started
2: Data, data everywhere and not a drop to drink
3: Displaying descriptive statistics
4: Calculating descriptive statistics: measures of central tendency (mean, median, and mode)
5: Calculating descriptive statistics: measures of dispersion
Part 2: Probability Topics
6: Introduction to probability
7: More probability stuff
8: Counting principles and probability distributions
9: Binomial probability distribution
10: Poisson probability distribution
11: Normal probability distribution
Part 3: Inferential Statistics
12: Sampling
13: Sampling distributions
14: Confidence intervals
15: Introduction to hypothesis testing
16: Hypothesis testing with one sample
17: Hypothesis testing with two samples
Part 4: Advanced Inferential Statistics
18: Chi-square probability distribution
19: Analysis of variance
20: Correlation and simple regression
Appendixes
A: Solutions to "your turn"
B: Statistical tables
C: Glossary
Index.
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Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking
Oxford University Press, USA | 1995-10-19 | ISBN: 0195086074 | 408 pages | PDF | 21,7 Mb
Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical s rather than on the mathematical logic of the s themselves.
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Robert C. Elston, William Johnson, "Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach"
Wiley | 2008 | ISBN: 0470024909, 0470024895 | 384 pages | PDF | 1,5 MB
Anyone who attempts to read genetics or epidemiology research literature needs to understand the
essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures.
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