Search Results - "probability"

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    The Brownian Motion A Rigorous but Gentle Introduction for Economists / by Löffler, Andreas, Kruschwitz, Lutz

    Published 2019
    Table of Contents: “…Introduction -- Set Theory -- Measures and Probabilities -- Random Variables -- Expectation and Lebesque Integral -- Wiener's Construction of the Brownian motion -- Supplements -- References -- Index.…”
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  16. 2776

    Introduction to Statistics by Lane, David

    Published 2003
    Table of Contents: “…Describing Bivariate Data -- 5. Probability -- 6. Research Design -- 7. Normal Distributions -- 8. …”
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  17. 2777

    Introductory Business Statistics by Holmes, Lex, Illowsky, Barbara, Dean, Susan

    Published 2017
    Table of Contents: “…Preface -- 1 Sampling and Data -- 2 Descriptive Statistics -- 3 Probability Topics -- 4 Discrete Random Variables -- 5 Continuous Random Variables -- 6 The Normal Distribution -- 7 The Central Limit Theorem -- 8 Confidence Intervals -- 9 Hypothesis Testing with One Sample -- 10 Hypothesis Testing with Two Samples -- 11 The Chi-Square Distribution -- 12 F Distribution and One-Way ANOVA -- 13 Linear Regression and Correlation -- Statistical TablesMathematical Phrases, Symbols, and Formulas…”
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  18. 2778

    Statistical Thinking for the 21st Century by Poldrack, Russell A.

    Published 2018
    Table of Contents: “…1 Introduction -- 2 Working with data -- 3 Probability -- 4 Summarizing data -- 5 Fitting models to data -- 6 Data Visualization -- 7 Sampling -- 8 Resampling and simulation -- 9 Hypothesis testing -- 10 Confidence intervals, effect sizes, and statistical power -- 11 Bayesian statistics -- 12 Modeling categorical relationships -- 13 Modeling continuous relationships -- 14 The General Linear Model -- 15 Comparing means -- 16 The process of statistical modeling: A practical example -- 17 Doing reproducible research…”
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    Evidence-based Software Engineering by Jones, Derek M.

    Published 2020
    Table of Contents: “…1 Introduction -- 2 Human cognition -- 3 Cognitive capitalism -- 4 Ecosystems -- 5 Projects -- 6 Reliability -- 7 Source code -- 8 Stories told by data -- 9 Probability -- 10 Statistics -- 11 Regression modeling -- 12 Miscellaneous techniques -- 13 Experiments -- 14 Data preparation -- 15 Overview of R…”
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