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雷达卡
第一次发帖，，刚才搜索了一下没有这本书，所以。。。
*名称：
Modern Engineering Statistics
THOMAS P. RYAN
*大小：609页
*格式：PDF
*目录：
Contents
Preface xvii
1. Methods of Collecting and Presenting Data 1
1.1 Observational Data and Data from Designed Experiments, 3
1.2 Populations and Samples, 5
1.3 Variables, 6
1.4 Methods of Displaying Small Data Sets, 7
1.4.1 Stem-and-Leaf Display, 8
1.4.2 Time Sequence Plot and Control Chart, 9
1.4.3 Lag Plot, 11
1.4.4 Scatter Plot, 12
1.4.5 Digidot Plot, 14
1.4.6 Dotplot, 14
1.5 Methods of Displaying Large Data Sets, 16
1.5.1 Histogram, 16
1.5.2 Boxplot, 20
1.6 Outliers, 22
1.7 Other Methods, 22
1.8 Extremely Large Data Sets: Data Mining, 23
1.9 Graphical Methods: Recommendations, 23
1.10 Summary, 24
References, 24
Exercises, 25
2. Measures of Location and Dispersion 45
2.1 Estimating Location Parameters, 46
2.2 Estimating Dispersion Parameters, 50
2.3 Estimating Parameters from Grouped Data, 55
v
vi contents
2.4 Estimates from a Boxplot, 57
2.5 Computing Sample Statistics with MINITAB, 58
2.6 Summary, 58
Reference, 58
Exercises, 58
3. Probability and Common Probability Distributions 68
3.1 Probability: From the Ethereal to the Concrete, 68
3.1.1 Manufacturing Applications, 70
3.2 Probability Concepts and Rules, 70
3.2.1 Extension to Multiple Events, 73
3.2.1.1 Law of Total Probability and Bayes¡¦ Theorem, 74
3.3 Common Discrete Distributions, 76
3.3.1 Expected Value and Variance, 78
3.3.2 Binomial Distribution, 80
3.3.2.1 Testing for the Appropriateness of the
Binomial Model, 86
3.3.3 Hypergeometric Distribution, 87
3.3.4 Poisson Distribution, 88
3.3.4.1 Testing for the Appropriateness of the
Poisson Model, 90
3.3.5 Geometric Distribution, 91
3.4 Common Continuous Distributions, 92
3.4.1 Expected Value and Variance, 92
3.4.2 Determining Probabilities for Continuous Random
Variables, 92
3.4.3 Normal Distribution, 93
3.4.3.1 Software-Aided Normal Probability
Computations, 97
3.4.3.2 Testing the Normality Assumption, 97
3.4.4 t-Distribution, 97
3.4.5 Gamma Distribution, 100
3.4.5.1 Chi-Square Distribution, 100
3.4.5.2 Exponential Distribution, 101
3.4.6 Weibull Distribution, 102
3.4.7 Smallest Extreme Value Distribution, 103
3.4.8 Lognormal Distribution, 104
3.4.9 F Distribution, 104
3.5 General Distribution Fitting, 106
3.6 How to Select a Distribution, 107
3.7 Summary, 108
References, 109
Exercises, 109
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