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Add to basketpaperback. Condition: New. Paperback Pages Number: 321 Language: Chinese. Probability theory and mathematical statistics for engineering. science (non-mathematics) undergraduate students to learn probability theory and mathematical statistics courses prepared for the 21st century materials content: random events and their probability. conditional probability and independence of the events. one-dimensional random variables and their distribution. two-dimensional random variable and its distribution. the numerical charac.
Published by Beijing University of Aeronautics and Astronautics Press, 2000
ISBN 10: 751240896X ISBN 13: 9787512408968
Language: Chinese
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Add to basketpaperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Probability Theory and Mathematical Statistics Tutorial: Homework synchronization Precision Solution (4th Edition)Four Satisfaction guaranteed,or money back.
ISBN 10: 7040129639 ISBN 13: 9787040129632
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback Pages Number: 356 To meet the needs of the majority of Kaoyan students. Probability Theory and Mathematical Statistics typical exercises resolve: Engineering. Master of Economics Entrance Examination Guide on the basis of summing up the editor for many years of teaching experience. with reference to the the Kaoyan outline written in. The book is a total of eight chapters. each chapter contains an executive summary and examples of two parts. each example contains ana.
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Pages: 303 Publisher: Higher Education Press This book is a textbook for non-mathematical probabilistic and mathematical statistics courses. The book consists of nine chapters. including random events and probabilities. random variables and their probability distributions. multidimensional random variables and their probability distributions. numerical characteristics of random variables. large number laws and central limit theorems. numbers.