Ebook A modern introduction to probability and statistics: Understanding why and how - Part 2
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Ebook A modern introduction to probability and statistics: Understanding why and how - Part 1 presents the following content: Chapter 17 basic statistical models, chapter 18 the bootstrap, chapter 19 unbiased estimators, chapter 20 efficiency and mean squared error, chapter 21 maximum likelihood, chapter 22 the method of least squares, chapter 23 confidence intervals for the mean, chapter 24 more on confidence intervals, chapter 25 testing hypotheses: essentials, chapter 26 testing hypotheses: elaboration, chapter 27 the t-test, chapter 28 comparing two samples.
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Ebook A modern introduction to probability and statistics: Understanding why and how - Part 2
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Ebook A modern introduction to probability and statistics: Understanding why and how - Part 2
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