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Liu Ding Luo Jin Deng (3 results)
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Probability Theory and Mathematical Statistics Learning Guide (Second Edition)(Chinese Edition)
ISBN 10: 7030539338 ISBN 13: 9787030539335
£ 52.58
Convert currency£ 11.19 shipping from China to United KingdomQuantity: 5 available
Add to basketpaperback. Condition: New. Paperback. Pub Date: 2017-07-01 Pages: 206 Language: Chinese Publisher: Science Press. The Guide to Probability Theory and Mathematical Statistics (Second Edition) is Probability Theory and Mathematical Statistics and Its Applications (Fourth Edition) The supporting supplementary materials can also be used in conjunction with other probabilistic and mathematical statistics textbooks. The book includes random events and general.
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Linear algebra and its applications (second edition)(Chinese Edition)
ISBN 10: 7030490517 ISBN 13: 9787030490513
£ 56.05
Convert currency£ 11.19 shipping from China to United KingdomQuantity: 5 available
Add to basketpaperback. Condition: New. Paperback. Pub Date: 2016-06-01 Pages: 206 Language: Chinese Publisher: science press. Beijing. linear algebra is the university of science and engineering and the students' compulsory course of administration. in cultivating the students' ability of calculation and abstract thinking ability plays a very important role.Discussing the book in a linear equations as the starting point. and gradually matrices. determinants. vector group.
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Probability Theory and Mathematical Statistics and Their Applications (Fourth Edition)(Chinese Edition)
ISBN 10: 703053932X ISBN 13: 9787030539328
£ 59.83
Convert currency£ 11.19 shipping from China to United KingdomQuantity: 5 available
Add to basketpaperback. Condition: New. Paperback. Pub Date: 2017-07-01 Pages: 264 Language: Chinese Publisher: Science Press Probability Theory and Mathematical Statistics and Its Applications (Fourth Edition) revised and reprinted on the basis of the third edition. the book has 10 chapters The content includes: random events and probabilities. random variables and their distribution. numerical characteristics of random variables. law of large numbers and central pole.
