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Data Analysis with Stata
Prasad Kothari
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Data Analysis with StataPrasad Kothari
This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.
This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.
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This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application.
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出版社Packt Publishing
出版时间2015年10月
字数117,964
分类计算机-编程设计
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Data Analysis with Stata
Prasad Kothari
- 扉页
- coverpage+书签
- Data Analysis with Stata
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files, eBooks, discount offers, and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction to Stata and Data Analytics
- Introducing data analytics
- The Stata interface
- Data-storing techniques in Stata
- Directories and folders in Stata
- Reading data in Stata
- Variables and data types
- Summary
- Chapter 2. Stata Programming and Data Management
- The labeling of data, variables, and variable transformations
- Summarizing the data and preparing tabulated reports
- Appending and merging the files for data management
- Macros
- Loops in Stata
- Summary
- Chapter 3. Data Visualization
- Scatter plots
- Line plots
- Histograms and other charts
- Box plots
- Pie charts
- Pyramidal graphs
- Vio plots
- Ci plots
- Statistical calculations in graphs
- Curve fitting in Stata
- Summary
- Chapter 4. Important Statistical Tests in Stata
- T tests
- The chi-square goodness of fit test
- ANOVA
- MANOVA
- Fisher s exact test
- The Wilcoxon-Mann-Whitney test
- Summary
- Chapter 5. Linear Regression in Stata
- Linear regression
- Variance inflation factor and multicollinearity
- Homoscedasticity
- Summary
- Chapter 6. Logistic Regression in Stata
- The logistic regression concept
- Logistic regression in Stata
- Logistic regression for finance (loans and credit cards)
- Summary
- Chapter 7. Survey Analysis in Stata
- Survey analysis concepts
- Survey analysis in Stata code
- Cluster sampling
- Summary
- Chapter 8. Time Series Analysis in Stata
- Time series analysis concepts
- Code for time series analysis in Stata
- Summary
- Chapter 9. Survival Analysis in Stata
- Survival analysis concepts
- Applications and code in Stata for survival analysis
- Building a model
- Proportionality assumption
- Summary
- Index
Data Analysis with Stata
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