Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discret
A first course in order statistics
β Scribed by Barry C. Arnold, N. Balakrishnan, H. N. Nagaraja
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 2008
- Tongue
- English
- Leaves
- 306
- Series
- Classics in applied mathematics 54
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discret
Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discret
<i>For courses in introductory statistics.</i><b>A Contemporary Classic</b>Classic, yet contemporary; theoretical, yet applied-McClave & Sincich's<b>A First Course in Statistics</b>gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphas
<p>My goal in writing this book has been to provide teachers and students of multiΒ variate statistics with a unified treatment ofboth theoretical and practical aspects of this fascinating area. The text is designed for a broad readership, including advanced undergraduate students and graduate stude
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