SAS for Data Analysis With 100 SAS Programs

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Mervyn G. Marasinghe • William J. Kennedy
SAS for Data Analysis
Intermediate Statistical Methods
With 100 SAS Programs
Springer Science

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏5 回帖

关键词：programs Analysis Analysi Program Analys

介绍一下具体内容，谢谢！

本书的所有内容，介绍如下:
1 Introduction to the SAS Language
1.1 Introduction
1.2 Basic Language: Rules and Syntax
1.3 Creating SAS Data Sets
1.4 The INPUT Statement
1.5 SAS Data Step Programming Statements and Their Uses
1.6 Data Step Processing
1.7 More on INPUT Statement
1.7.1 Use of pointer controls
1.7.2 The trailing @ line-hold specifier
1.7.3 The trailing @@ line-hold specifier
1.7.4 Use of RETAIN statement
1.7.5 The use of line pointer controls
1.8 Using SAS Procedures
1.9 Exercises
2 More on SAS Programming and Some Applications
2.1 More on the DATA and PROC Steps
2.1.1 Reading data from files
2.1.2 Combining SAS data sets
2.1.3 Saving and retrieving permanent SAS data sets
2.1.4 User-defined informats and formats
2.1.5 Creating SAS data sets in procedure steps
2.2 SAS Procedures for Computing Statistics
2.2.1 The UNIVARIATE procedure
2.2.2 The FREQ procedure
2.3 Some Useful Base SAS Procedures
2.3.1 The PLOT procedure
2.3.2 The CHART procedure
2.3.3 The TABULATE procedure
2.4 Exercises
3 Statistical Graphics Using SAS/GRAPH
3.1 Introduction
3.2 An Introduction to SAS/GRAPH
3.2.1 Useful SAS/GRAPH procedures
GPLOT procedure
GCHART procedure
3.2.2 Writing SAS/GRAPH programs
3.3 Quantile Plots
3.4 Empirical Quantile-Quantile Plots
3.5 Theoretical Quantile-Quantile Plots or Probability Plots
3.6 Profile Plots of Means or Interaction Plots
3.7 Two-Dimensional Scatter Plots and Scatter Plot Matrices
3.7.1 Two-Dimensional Scatter Plots
3.7.2 Scatter Plot Matrices
3.8 Histograms, Bar Charts, and Pie Charts
3.9 Other SAS Procedures for High-Resolution Graphics
3.10 Exercises
4 Statistical Analysis of Regression Models
4.1 An Introduction to Simple Linear Regression
4.1.1 Simple linear regression using PROC REG
4.1.2 Lack of fit test using PROC ANOVA
4.1.3 Diagnostic use of case statistics
4.1.4 Prediction of new y values using regression
4.2 An Introduction to Multiple Regression Analysis
4.2.1 Multiple regression analysis using PROC REG
4.2.2 Case statistics and residual analysis
4.2.3 Residual plots
4.2.4 Examining relationships among regression variables
4.3 Types of Sums of Squares Computed in PROC REG and
PROC GLM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231
4.3.1 Model comparison technique and extra sum of squares . 231
4.3.2 Types of sums of squares in SAS . . . . . . . . . . . . . . . . . . . . 233
4.4 Subset Selection Methods in Multiple Regression . . . . . . . . . . . . 235
4.4.1 Subset selection using PROC REG . . . . . . . . . . . . . . . . . 241
4.4.2 Other options available in PROC REG for model
selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249
4.5 Inclusion of Squared Terms and Product Terms in Regression
Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
4.5.1 Including interaction terms in the model . . . . . . . . . . . . . 252
4.5.2 Comparing slopes of regression lines using interaction . . 253
4.5.3 Analysis of models with higher-order terms with
PROC REG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254
4.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261
5 Analysis of Variance Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
5.1.1 Treatment Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278
5.1.2 Experimental Designs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279
5.1.3 Linear Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280
5.2 One-Way Classification. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282
5.2.1 Using PROC ANOVA to analyze one-way
classifications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291
5.2.2 Making preplanned (or a priori) comparisons using
PROC GLM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
5.2.3 Testing orthogonal polynomials using contrasts . . . . . . . . 302
5.3 One-Way Analysis of Covariance . . . . . . . . . . . . . . . . . . . . . . . . . . 309
5.3.1 Using PROC GLM to perform one-way covariance
analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312
5.3.2 One-way covariance analysis: Testing for equal slopes . . 321
5.4 A Two-Way Factorial in a Completely Randomized Design . . . 328
5.4.1 Analysis of a two-way factorial using PROC GLM . . . . 331
5.4.2 Residual analysis and transformations. . . . . . . . . . . . . . . . 336
5.5 Two-Way Factorial: Analysis of Interaction . . . . . . . . . . . . . . . . . 338
5.6 Two-Way Factorial: Unequal Sample Sizes . . . . . . . . . . . . . . . . . . 346
5.7 Two-Way Classification: Randomized Complete Block Design . 358
5.7.1 Using PROC GLM to analyze a RCBD . . . . . . . . . . . . . 361
5.7.2 Using PROC GLM to test for nonadditivity . . . . . . . . . 367
5.8 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369
6 Analysis of Variance: Random and Mixed Effects Models . . 389
6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389
6.2 One-Way Random Effects Model . . . . . . . . . . . . . . . . . . . . . . . . . . 393
6.2.1 Using PROC GLM to analyze one-way random
effects models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396
6.2.2 Using PROC MIXED to analyze one-way random
effects models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400
6.3 Two-Way Crossed Random Effects Model . . . . . . . . . . . . . . . . . . 407
6.3.1 Using PROC GLM and PROC MIXED to analyze
two-way crossed random effects models . . . . . . . . . . . . . . . 410
6.3.2 Randomized complete block design: Blocking when
treatment factors are random . . . . . . . . . . . . . . . . . . . . . . . 417
6.4 Two-Way Nested Random Effects Model . . . . . . . . . . . . . . . . . . . 418
6.4.1 Using PROC GLM to analyze two-way nested
random effects models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421
6.4.2 Using PROC MIXED to analyze two-way nested
random effects models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425
6.5 Two-Way Mixed Effects Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427
6.5.1 Two-way mixed effects model: Randomized complete
blocks design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430
6.5.2 Two-way mixed effects model: Crossed classification . . . 441
6.5.3 Two-way mixed effects model: Nested classification . . . . 453
6.6 Models with Random and Nested Effects for More Complex
Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465
6.6.1 Models for nested factorials . . . . . . . . . . . . . . . . . . . . . . . . . 466
6.6.2 Models for split-plot experiments . . . . . . . . . . . . . . . . . . . . 472
6.6.3 Analysis of split-plot experiments using PROC GLM . 474
6.6.4 Analysis of split-plot experiments using
PROC MIXED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481
6.7 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 488
APPENDICES
A SAS/GRAPH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503
A.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503
A.2 SAS/GRAPH Statements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513
A.2.1 Goptions statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 516
A.2.2 SAS/GRAPH global statements . . . . . . . . . . . . . . . . . . . . . 516
A.3 Printing and Exporting Graphics Output . . . . . . . . . . . . . . . . . . . 526
B Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 529
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553

多谢！！！！！

谢谢！收入囊中！

感谢楼主 提供切合需要的东西

Thanks for sharing.

gooooooood   thing

下載來看看
謝謝分享

不管三七二十一，先下载再说