00000cam a22000004i 4500 UP-99796217612712568 Buklod 20180323102547.0 m |o d | ta 180323s2012 xx d r |||| u| 9781842657270 (hardbound) (iLib)UPD-00360916117 DLC DSTC rda eng DMLUC QA 276.4 C486 2012 Chattamvelli, Rajan author. Statistical Algorithms Rajan Chattamvelli. Oxford Alpha Science International 2012. xv, 240 pages illustrations 25 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (p. 593-596) and index. 1. Introduction to algorithms --2. Measures of central tendency --3. Measures of dispersion --4. Measures of skewness and kurtosis --5. Matrix algorithms in statistics --6. Linear regression --7. Measures of association --8. Distance based algorithms --9. Discrete distributions --10. Continuous distributions --11. The EM algorithm --12. Random numbers. STATISTICAL ALGORITHMS integrates up-to-date theoretical and algorithmic aspects of statistics under one roof. Starting with elementary algorithms on mean, median and mode, it thoroughly discusses variance, covariance, correlation, skewness and kurtosis measures, distance metrics, regression models, and variable selection methods. The chapter on matrix algorithms summarises a large number of useful results. Algorithms for the most popular discrete and continuous statistical distributions appear in chapters 9 and 10. Estimation in a missing data setup is numerically exemplified in the chapter on Expectation Maximisation (EM) algorithm. Random number generation and Monte Carlo methods are also discussed. A key feature of the book is the large number of code-snippets and pseudocode of algorithms. No prior knowledge in statistics or mathematics is assumed on the part of the reader, but only basic knowledge in computer program coding in any high-level language. This book is an invaluable resource for undergraduate students, statisticians and applied mathematicians, computer scientists, engineers and professionals working in related fields. Mathematical statistics. Algorithms. FO UPD DSTC QA 276.4 C43 2012 Book