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Applied Statistics for Engineers and Physical Scientists (3rd Edition) Paperback – January 7, 2009

ISBN-13: 978-0136017981 ISBN-10: 0136017983 Edition: 3rd

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Product Details

  • Paperback: 608 pages
  • Publisher: Pearson; 3rd edition (January 7, 2009)
  • Language: English
  • ISBN-10: 0136017983
  • ISBN-13: 978-0136017981
  • Product Dimensions: 9.2 x 7.1 x 1 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 1.9 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #857,254 in Books (See Top 100 in Books)

Editorial Reviews

From the Publisher

Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics. --This text refers to an out of print or unavailable edition of this title.

About the Author

Johannes Ledolter is a Professor of Statistics and Actuarial Sciences at the University of Iowa as well as a C. Maxwell Stanley Professor of International Operations Management at the Henry B. Tippie College of Business. Ledolter received his M.S. and Ph.D. degrees in Statistics from the University of Wisconsin-Madison along with an M.S degree in Social and Economic Statistics from the University of Vienna. His research interests are in time series analysis, forecasting, and applied statistical modeling. His publications have appeared in Biometrika, Technometrics, Communications in Statistics, and Management Science. He is the co-author of several books including Experimental Design with Applications in Marketing and Service Operations, Introduction to Regression Modeling, Statistical Quality Control, and Statistical Methods for Forecasting.

 

 

Robert V. Hogg, Professor Emeritus of Statistics at the University of Iowa since 2001, received his B.A. in mathematics at the University of Illinois and his M.S. and Ph.D. degrees in mathematics, specializing in actuarial sciences and statistics, from the University of Iowa. Known for his gift of humor and his passion for teaching, Hogg has had far-reaching influence in the field of statistics. Throughout his career, Hogg has played a major role in defining statistics as a unique academic field, and he almost literally "wrote the book" on the subject. He has written more than 70 research articles and co-authored four books including  Introduction of Mathematical Statistics, 6th edition, with J. W. McKean and  A.T. Craig,  as well as  Probability and Statistical Inference, 8th edition and A Brief Course in Mathematical 1st edition, both with E.A. Tanis. His texts have become classroom standards used by hundreds of thousands of students

 

Among the many awards he has received for distinction in teaching, Hogg has been honored at the national level (the Mathematical Association of America Award for Distinguished Teaching), the state level (the Governor's Science Medal for Teaching), and the university level (Collegiate Teaching Award). His important contributions to statistical research have been acknowledged by his election to fellowship standing in the ASA and the Institute of Mathematical Statistics.

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Customer Reviews

The Text and explanation process is very Complex, makes the subject material more tougher than it ought to be.
Ramanan
Ultimately I have had to resort to watching tons of YouTube clips and reading other articles online to supplement this book because it has been so useless to me.
Joshua P. Jung
The answers in the back of the book are wrong sometimes and they are not at all helpful to helping you figure out how to solve a problem.
Stephen L

Most Helpful Customer Reviews

12 of 13 people found the following review helpful By Joshua P. Jung on September 19, 2010
Format: Paperback
Alright, a little background. I am an engineering student at UIC and am currently in the field of software engineering and have been for 5+ years. I've decided to go back to school to get the degree saying I know what I already know.

I consider myself fairly intelligent and got straight A's in Calculus 1,2,3 and Differential Equations so I was always good at math.

This book could not be more confusing:

1) Explanations and proofs are half-assed. Phrases like "It is easy to show..." are often insufficent. Like another review said, there is almost an underlying assumption that you already know the material the book is explaining.

2) Notation is often left unexplained or an explanation is half-hazardously thrown in as an after-thought. Forget ever being able to go back and sift through all the text to try and find those 10 words explaining the notation again as they are often hidden in a massive paragraph. I feel like every paragraph is written by a mildly presumptuous and assuming person. It's as if the entire attitude is a passive "you probably already know this so I won't explain it that well so we can move on..."

3) The book feels like it was written by an English major describing the story of statistics. I am constantly trying to find structure in the massive paragraph after paragraph. I'm trying to picture things mathematically and it never ceases to amaze me just how bad the explanations are.

3) Key equations are never highlighted in the book. Can't you put a freaking box around it and say "Important!" or "Standard Deviation"?
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6 of 7 people found the following review helpful By A Customer on April 1, 2002
Format: Paperback
This book was used as a text for an intro statistics class, and proved to be completely useless. First of all it fails to explain any of the information in terms understandable by the reader, and thus is useless to anyone who doesn't already know the material. Second, the examples it does provide (few as they are) show the simplest cases possible, that do not apply the information covered in that section. The examples, if a solution is provided (oftentimes they say in one sentence that the solution should be obvious to anyone, and don't provide a solution) skip steps and are generally confusing. In summary, this book should only be used if you already understand everything in it and I would thereby rate it as a pass, unless of course you are looking for a handbook or reference.
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1 of 1 people found the following review helpful By frank on June 24, 2012
Format: Kindle Edition
I hate that I am subjected to this book. It has hardly any examples and then expects you to know how to do homework problems that are way harder and completely different from the examples. UIC is truly foolish for using this book and it clearly shows how bought they are by the textbook oligopoly. Garbage
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4 of 6 people found the following review helpful By George Hsu on March 14, 2004
Format: Paperback
I have studied one full year of probability theory on the level of Probability and Random Processes for Electrical Engineering by Leon-Garcia, but I have decided to read this book to enhance my statistical concepts. This book is easy to read; it gives an intuitive explanation on statisical concepts and then explain them in math (it does assume some knowledge in Calculus). It also has an emphasis on quality control/production that I found valueable. The sections I found useful are control charts, reliability, design of experiments, checking for normaility, confidence interval, etc. The drawbacks are that the important equations are not labeled with numbers so they don't stand out and that this is a 1992 book so it does not include more recent examples.
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2 of 3 people found the following review helpful By Michael J. Slater on June 13, 2011
Format: Paperback Verified Purchase
This stats book is extremely good. I used it for my Statistics class in my Math minor.
It is very good at explaining equations and concepts and the example problems are very in depth.

A warning though:
It assumes in many places that you know how to use some sort of statistics software for some problems that require them. You can use R or a ti-83 calculator (although I recommend the ti-89 titanium, it has more advanced stats) to do alot of these functions. The book assumes you know what they are and doesn't give you much help. It has the appropriate look-up tables in the appendix so you can get away with doing alot of problems without software but it is also vague on the best way to do this.

Obviously this book is meant for a class with an instructor though, or for someone with previous knowledge in statistics, so I don't really see the lack of help on using software as a particularly bad thing, but I feel it should have been included.
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Format: Paperback Verified Purchase
I didn't have a choice when purchasing this book, it was required for a Rutgers course. With that being said, it wasn't the worst textbook I've used in a course. The examples were decent, but the descriptions were paragraphs of unnecessary detail. If you are looking for a textbook to teach yourself I would not recommend! However, is this is a required book for a course, don't worry, along with your professors notes you should be fine! The problems and examples aren't terrible as long as supplemented with a decent lecturer!
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