解压密码 share.weimo.info
Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th . Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations. Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th also includes graphics and screen shots from SAS, MINITAB, and Java™ Applets to give you a solid perspective of statistics in action.,解压密码 share.weimo.info
2020-02-13 03:14:38
13.96MB
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计算机体系结构量化方法 ,最新版,英文原版.
“Although important concepts of architecture are timeless, this edition has been
thoroughly updated with the latest technology developments, costs, examples,
and references. Keeping pace with recent developments in open-sourced architecture,
the instruction set architecture used in the book has been updated to use the
RISC-V ISA.”
2020-02-13 03:09:40
34.95MB
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Antenna Theory and Design
THIRD EDITION
Warren L. Stutzman Professor Emeritus Virginia Tech
Gary A. Thiele Professor Emeritus University of Dayton
2020-02-09 03:11:31
33.23MB
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The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems. ,解压密码 share.weimo.info
2020-02-02 03:17:29
3.6MB
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Handbook of mathematical functions--数学函数手册(英文原版)，著者： Milton Abramowitz and Irene A.
2020-01-18 03:23:44
58.72MB
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国内电子工业那版书里面的附录代码删除了部分，很多缺函数无法运行，英文原版代码很全
2020-01-15 03:04:06
18.53MB
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