This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included
A Graduate Course on Statistical Inference
โ Scribed by Bing Li; G. Jogesh Babu
- Publisher
- Springer New York
- Year
- 2019
- Tongue
- English
- Series
- Springer Texts in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. Th
<p><b><i>A concise, easily accessible introduction to descriptive and inferential techniques</i></b></p><p><i>Statistical Inference: A Short Course</i> offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, meas
This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal