Biostatistics生物统计学（英文版）
定价：￥80.00
作者： 涂宗财，张锦胜主编
出版时间：2025-12
出版社：化学工业出版社
- 化学工业出版社
- 9787122496553
- 1版
- 16开
- 2025-12
- 608
- 研究生及以上
作者简介
目录
Chapter 1 The Basis of Data Analysis001
Section 1 Definition and Content of Data Analysis001
Section 2 Working Procedure of Experimental Data Analysis004
Section 3 The Basic Concepts of Data Statistical Analysis006
Section 4 The Concept and Characteristics of Normal Distribution018
Section 5 Distribution of Statistics023
Section 6 Sampling Research and Sampling Error028
Section 7 Parameter Estimation and Hypothesis Testing031
Summary046
Chapter 2 SPSS Base Operation049
Section 1 Launch of SPSS049
Section 2 Main Window of SPSS050
Section 3 Defined Variable054
Section 4 Data Editing and Collation057
Chapter 3 Describes the Statistical Analysis069
Section 1 Descriptive Statistics-Frequencies069
Section 2 Exploratory Analysis Process074
Chapter 4 Statitics Inference081
Section 1 Hypothesis Testing of a Single Population081
Section 2 Two Populations of Statistical Inferences085
Section 3 Hypothesis Testing of Two Related Populations095
Section 4 SPSS Mean Procedure Introduction099
Summary102
Chapter 5 ANOVA105
Section 1 One-Way Analysis of Variance 106
Section 2 Two-Factor ANOVA for Random Block Design115
Section 3 Analysis of Variance for Two-Factor Experiments with Equal Replication128
Section 4 Multiple Comparisons Between Multiple Sample Means138
Section 5 Analysis of Variance of General Linear Model155
Summary168
Chapter 6 Covariance Analysis 171
Section 1 The Significance of Covariance Analysis 171
Section 2 Analysis of Covariance for Single-Factor Experimental Data173
Summary187
Chapter 7 Correlation Analysis 189
Section 1 Linear Correlation Analysis190
Section 2 Level-Related197
Section 3 Partial Correlation Analysis 200
Section 4 Distance Analysis Process 204
Summary208
Chapter 8 Regression Analysis 211
Section 1 Principles of Regression Analysis211
Section 2 Multiple Regression Analysis 229
Section 3 Nonlinear Models: Mathematical Transformations 245
Section 4 Curve Fitting 248
Section 5 Nonlinear Regression Analysis 253
Summary263
Chapter 9 Nonparametric Test 265
Section 1 Run Test267
Section 2 Mann-Whitney U Test 271
Section 3 Wilcoxon Signed-Rank Test for Paired Samples 278
Section 4 Kruskal-Wallis Test 285
Section 5 Friedman Tests 288
Summary293
Chapter 10 Drawing of Graphs297
Section 1 Bar Chart298
Section 2 Line Chart 303
Section 3 Area Chart305
Section 4 Pie Chart308
Section 5 High-Low Chart310
Section 6 Control Chart312
Section 7 Boxplot316
Section 8 Error Bar317
Section 9 Scatter Plot320
Section 10 Histogram323
Section 11 Normal P-P325
Section 12 Sequence Diagram328
Section 13 Time Series Plot330
Summary332
Main References334
Appendix335
Section 1 Definition and Content of Data Analysis001
Section 2 Working Procedure of Experimental Data Analysis004
Section 3 The Basic Concepts of Data Statistical Analysis006
Section 4 The Concept and Characteristics of Normal Distribution018
Section 5 Distribution of Statistics023
Section 6 Sampling Research and Sampling Error028
Section 7 Parameter Estimation and Hypothesis Testing031
Summary046
Chapter 2 SPSS Base Operation049
Section 1 Launch of SPSS049
Section 2 Main Window of SPSS050
Section 3 Defined Variable054
Section 4 Data Editing and Collation057
Chapter 3 Describes the Statistical Analysis069
Section 1 Descriptive Statistics-Frequencies069
Section 2 Exploratory Analysis Process074
Chapter 4 Statitics Inference081
Section 1 Hypothesis Testing of a Single Population081
Section 2 Two Populations of Statistical Inferences085
Section 3 Hypothesis Testing of Two Related Populations095
Section 4 SPSS Mean Procedure Introduction099
Summary102
Chapter 5 ANOVA105
Section 1 One-Way Analysis of Variance 106
Section 2 Two-Factor ANOVA for Random Block Design115
Section 3 Analysis of Variance for Two-Factor Experiments with Equal Replication128
Section 4 Multiple Comparisons Between Multiple Sample Means138
Section 5 Analysis of Variance of General Linear Model155
Summary168
Chapter 6 Covariance Analysis 171
Section 1 The Significance of Covariance Analysis 171
Section 2 Analysis of Covariance for Single-Factor Experimental Data173
Summary187
Chapter 7 Correlation Analysis 189
Section 1 Linear Correlation Analysis190
Section 2 Level-Related197
Section 3 Partial Correlation Analysis 200
Section 4 Distance Analysis Process 204
Summary208
Chapter 8 Regression Analysis 211
Section 1 Principles of Regression Analysis211
Section 2 Multiple Regression Analysis 229
Section 3 Nonlinear Models: Mathematical Transformations 245
Section 4 Curve Fitting 248
Section 5 Nonlinear Regression Analysis 253
Summary263
Chapter 9 Nonparametric Test 265
Section 1 Run Test267
Section 2 Mann-Whitney U Test 271
Section 3 Wilcoxon Signed-Rank Test for Paired Samples 278
Section 4 Kruskal-Wallis Test 285
Section 5 Friedman Tests 288
Summary293
Chapter 10 Drawing of Graphs297
Section 1 Bar Chart298
Section 2 Line Chart 303
Section 3 Area Chart305
Section 4 Pie Chart308
Section 5 High-Low Chart310
Section 6 Control Chart312
Section 7 Boxplot316
Section 8 Error Bar317
Section 9 Scatter Plot320
Section 10 Histogram323
Section 11 Normal P-P325
Section 12 Sequence Diagram328
Section 13 Time Series Plot330
Summary332
Main References334
Appendix335
