An Example-Based Approach to Statistical and Probabilistic Inference

Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics Book 10)

4.1 out of 5

Language	:	English
File size	:	50487 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	549 pages

FREE

David J. Hand

This book provides an example-based approach to statistical and probabilistic inference. It guides the reader through the essential concepts, from simple data analysis to advanced modeling techniques, and helps the reader build a solid foundation in statistical theory. The book is organized into three parts:

1. Part I: Foundations of Statistical Inference

This part introduces the basic concepts of statistical inference, including data collection, probability, and statistical modeling.

2. Part II: Statistical Models

This part covers a wide range of statistical models, including linear regression, logistic regression, and Bayesian models.

3. Part III: Applications of Statistical Inference

This part shows how statistical inference can be used to solve real-world problems, including medical diagnosis, quality control, and marketing research.

The book is written in a clear and concise style, and it is suitable for both undergraduate and graduate students in statistics, as well as for professionals working in the field.

Table of Contents

1. Part I: Foundations of Statistical Inference
2. Data Collection
3. Probability
4. Statistical Modeling
2. Part II: Statistical Models
1. Linear Regression
2. Logistic Regression
3. Bayesian Models
3. Part III: Applications of Statistical Inference
1. Medical Diagnosis
2. Quality Control
3. Marketing Research

Reviews

"This book is a valuable resource for students and professionals in statistics. It provides a clear and concise to the essential concepts of statistical inference, and it covers a wide range of statistical models and applications."
—Journal of the American Statistical Association

"This book is a well-written and comprehensive to statistical and probabilistic inference. It is an excellent resource for students and professionals in the field."
—The Statistician

Author

David J. Hand is a professor of statistics at Imperial College London. He is a Fellow of the Royal Statistical Society and the American Statistical Association. He is the author of over 200 papers and books on statistical theory and applications.

Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics Book 10)

4.1 out of 5

Language	:	English
File size	:	50487 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	549 pages

FREE