面向数据科学家的实用统计学(影印版)(英文版) word 网盘 高速 下载地址大全 免费

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Preface 1.Exploratory Data Analysis Elements of Structured Data Further Reading Rectangular Data Data Frames and Indexes Nonrectangular Data Structures Further Reading Estimates of Location Mean Median and Robust Estimates Example： Location Estimates of Population and Murder Rates Further Reading Estimates of Variability Standard Deviation and Related Estimates Estimates Based on Percentiles Example： Variability Estimates of State Population Further Reading Exploring the Data Distribution Percentiles and Boxplots Frequency Table and Histograms Density Estimates Further Reading Exploring Binary and Categorical Data Mode Expected Value Further Reading Correlation Scatterplots Further Reading Exploring Two or More Variables Hexagonal Binning and Contours （Plotting Numeric versus Numeric Data） Two Categorical Variables Categorical and Numeric Data Visualizing Multiple Variables Further Reading Summary 2.Data and Sampling Distributions Random Sampling and Sample Bias Bias Random Selection Size versus Quality： When Does Size Matter？ Sample Mean versus Population Mean Further Reading Selection Bias Regression to the Mean Further Reading Sampling Distribution of a Statistic Central Limit Theorem Standard Error Further Reading The Bootstrap Resampling versus Bootstrapping Further Reading Confidence Intervals Further Reading Normal Distribution Standard Normal and Q Q—Plots Long—Tailed Distributions Further Reading Student's t—Distribution Further Reading Binomial Distribution Further Reading Poisson and Related Distributions Poisson Distributions Exponential Distribution Estimating the Failure Rate Weibull Distribution Further Reading Summary 3.Statistical Experiments and Significance Testing A／B Testing Why Have a Control Group？ Why Just A／B？ Why Not C， D...？ For Further Reading Hypothesis Tests The Null Hypothesis Alternative Hypothesis One—Way， Two—Way Hypothesis Test Further Reading Resampling Permutation Test Example：Web Stickiness Exhaustive and Bootstrap Permutation Test Permutation Tests： The Bottom Line for Data Science For Further Reading Statistical Significance and P—Values P—Value Alpha Type 1 and Type 2 Errors Data Saence and P—Values Further Reading t—Tests Further Reading Multiple Testing Further Reading Degrees of Freedom Further Reading ANOVA F—Statistic Two—Way ANOVA Further Reading Chi—Square Test Chi—Square Test： A Resampling Approach Chi—Squared Test： Statistical Theory Fisher's Exact Test Relevance for Data Science Further Reading Multi—Arm Bandit Algorithm Further Reading Power and Sample Size Sample Size Further Reading Summary …… 4.Regression and Prediction 5.Classification 6.Statistical Machine Learning 7.Unsupervised Learning Bibliography Index

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