消息首页搜索举报

现货Data Analysis for Scientists and Engineers[9780691169927]

693 九五品

库存3件

上海宝山

认证卖家担保交易快速发货售后保障

作者Robinson, Edward L

出版社Princeton University Press

ISBN9780691169927

出版时间2016-10

装帧精装

纸张其他

页数408页

正文语种英语

上书时间2024-03-27

环球外文图书专营店

已实名已认证进店收藏店铺

在售商品暂无
平均发货时间 6天
好评率暂无

最新上架

现货Materials and Technologies of Modern Production[9783036401683] ¥1685.00

现货Introduction to Container Ship Operations and Onboard Safety[9781032155425] ¥453.00

现货Electrophosphorescent Materials and Devices[9789814877343] ¥1900.00

现货Organic Semiconductors for Optoelectronics[9781119146100] ¥1897.00

现货Advances in Food Rheology and Its Applications[9780081004319] ¥2306.00

现货Advanced Materials and Sustainable Technologies[9783035727562] ¥1421.00

现货Advanced Materials and Manufacturing Engineering II[9783035712681] ¥1414.00

现货Materials in Machinery and Construction[9783035718119] ¥1845.00

现货Cereal Grain Quality (Softcover Reprint of the Original 1st 1996)[9789401071772] ¥1768.00

商品详情

品相描述：九五品

商品描述: Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary.Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix.Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering.In-depth discussion of data analysis for scientists and engineersCoverage of both frequentist and Bayesian approaches to data analysisExtensive look at analysis techniques for time-series data and imagesDetailed exploration of linear and nonlinear modeling of dataEmphasis on error analysisInstructor's manual (available only to professors)

— 没有更多了 —