John.Wiley.And.Sons.Fundamentals.Of.Probability.And.Statistics.For.Engineers

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jasse701023

下載速度真慢....

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xie.qiang

Amzon上的5星评论. 5.0 out of 5 stars Good Source of Information about Probability and Statistics, January 3, 2009 By Claire Jones (Huntsville, AL) - See all my reviews (REAL NAME)    This review is from: Fundamentals of Probability and Statistics for Engineers (Paperback) I purchased this book as a supplement for my Graduate-level course. It covered much of the "Proof left as an exercise for the reader" material in the course text. I work with probability and statistics and I use this book as a back-up for when I forget or encounter a problem requiring knowledge of statistics more obscure than Mean, Median, and Mode. The author has abbreviated proofs for many formulae. The examples are clear and support the material. An Instructor's Solution Manual would be helpful for autodidacts like myself. This book is well worth the price. I recommend it for business people who need it for work and for graduate-level students in a course on probability and/or statistics. Comment Comment | Permalink | Was this review helpful to you?  [url=]Yes[/url] [url=]No[/url] (Report this)

xie.qiang

Product Description
This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tested over many years.  It is a true “learner’s book” made for students who require a deeper understanding of probability and statistics. It presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis.  Furthermore, the inclusion of more than 100 examples and 200 exercises (carefully selected from a wide range of topics), along with a solutions manual for instructors, means that this text is of real value to students and lecturers across a range of engineering disciplines. Key features:

• Presents the fundamentals in probability and statistics along with relevant applications.
• Explains the concept of probabilistic modelling and the process of model selection, verification and analysis.
• Definitions and theorems are carefully stated and topics rigorously treated.
• Includes a chapter on regression analysis.
• Covers design of experiments.
• Demonstrates practical problem solving throughout the book with numerous examples and exercises purposely selected from a variety of engineering fields.
• Includes an accompanying Solutions Manual for instructors containing complete step-by-step solutions to all problems.

xie.qiang

THanks.

bluepoet

积分。.................

steven_sh

loooooooook