No comments about Student Solutions Manual to accompany Essentials of Business Statistics.

No comments about Statistics for Management and Economics (with CD-ROM).

2 comments about Strategic Corporate Social Responsibility: Stakeholders in a Global Environment.

1. This book presents a stakeholder perspective for understanding the big picture of corporate social responsibility (CSR). These stakeholders are grouped as follows:
   organizational (employees, managers, stockholders, unions);
   economic (e.g., customers, creditors); and
   societal (e.g., communities, government and regulators, the environment).
   
   The book examines the scope of CSR, and views it through the lens of the needs and values of stakeholders. It puts forth the arguments against CSR.
   
   CSR is examined in a strategic context, placing the subject in sharp focus from a business perspective. The authors examine a long list of issues that define CSR in practice, each associated with a specific stakeholder group, using a real-life case study with supporting sources. Vivid examples of CSR strategies in action are provided.
   
   The book is a treasure trove of information and insights. It is comprehensive, and extremely well organized-an outstanding book in every respect. For anyone interested corporate social responsibility, this book is must-reading.



2. The book was in excellent conditions, BRAND NEW and shipping was very fast. Thank you!

5 comments about Lottery Numbers.

1. Well done Harry Schneider. Your lottery book and software are very impressive. Simple design and layout with effective easily understood results. Saw your comments on the opening screen of the software and closing comments in the book. It's if I had written them myself - brilliant! You have put in a lot of work to produce your book and software and it will certainly meet all my own needs. On the one hand I am depressed that I had not written this book and software myself but on the other hand I don't have to go through all the work and headaches that you have gone through developing it. The pro's are what all gamers want:- Handy sized book - not too onerous; Small file to download; simple design; no gimmicks; No reading through pile of other peoples' winning anecdotes - gives me the impression that I'll be telling my own winning story! Does the job exactly as designed very effectively; very fast; extremely powerful filters; a pleasure to read and use. As I said before - WELL DONE HARRY!



2. No nonsense, brilliant and fascinating. Gives me an appetite for more. The best book I have ever read on the subject. Harry's software is fantastic too. It is a real eye-opener.
   A MUST read for any serious lottery player.



3. I enjoyed this book very much and read it in about 2.5 hours. Written by a programmer-mathematician, I learned how to improve the odds of winning by using a well-tested checklist which helps you reduce & eliminate silly mistakes and redundancies when creating your number sets. I'm using this book as a foundation because I also realize that intuition and developing your own gaming style is also a part of winning, as well as other variables.

   And one of the biggest challenges is keeping organized. Simplicity works best. I generally create my draws, check them, fill out a lottery number form, check it, then submit it.

   My gaming style, to date, includes numerous ways of generating draws and I've won small pots from working a mathematical approach, using Quick Picks, and following my hunches which led me to picking 4 out 6 numbers once. Besides winning money, playing the lottery is fun if you want to improve your math skills. I don't play more than $2-$4 a week (sometimes less, or on occasions, a bit more). Sometimes I get pools started.




4. Sick of the hype of lottery systems for sale but still want something that works? Do you want a system that is based on scientific fact but is also easy to use and understand? Then this is the book for you. I love this book! I spoke to the author on the phone and he exudes honesty and sincerety. Also his software is so easy to use. It does all the figuring of his scientific system that is based on statistics. Though the book is a must! So you can understand the system. And you can choose your numbers from the easy instructions in the book. You dont have to have the software. You owe it to yourself to buy this book, if you buy lottery tickets.



5. I found this book to be concise and to the point. Written by a mathematician but in plain, easy to understand English. I read it in one sitting. I was so impressed by the book that I ordered his Lottery software program the following day. It's a smart investment if you're serious about winning the Lottery.

No comments about PHStat2 2.7.

No comments about Event History Analysis with Stata.

No comments about Financial Modeling Under Non-Gaussian Distributions (Springer Finance).

5 comments about Six Sigma for Everyone.

1. George Eckes has written a concise, thorough introduction to the theory and practice of Six Sigma, the management philosophy that Jack Welch called the most important initiative of his entire career at General Electric. The book provides a look at every aspect of Six Sigma. In some places, it seems a bit too detailed for so short a book - particularly when the author introduces the variety of statistical charts, graphs and tables used in the analysis phase of Six Sigma. But that is a quibble. Eckes also gets a bit self-serving when, in the question and answer chapter, he takes a swipe at consultants who agree to work on a contingency basis, for a percentage of the savings a client achieves, instead of for a fee. In fact, we, where we are always glad to avoid a squabble, note that managers who use this book may achieve some level of business improvement without hiring any consultants at all.



2. This is a good book for the person that may be involved in Six Sigma. It instructs you about how the process works and what is required of you. A book that I highly recommend.



3. This is an essintial book for those leading the initiative in lean. Recommended for all quality and managerial personel



4. For anyone who even doesnt know what Six Sigma stands for (say, 3.4 unhappy customer experiences per million opportunities), this is a good book for him/her, especially if his/her company is not yet a practitioner of Six Sigma and he/she just doesnt want to appear ignorant in front of other business executives. It's short, but has covered, though briefly, the key tactics and tools. The "key learnings" section in the end of each chapter and Chapter Six "The 10 common questions about Six Sigma" very much are definitely pluses. However, if one really has to work it out, I am afraid this would not be the optimal choice.
   
   p.s. I am obliged to deagree with the author, a Six Sigma Consultant's descripton of Six Sigma as the "Most popular management philosophy in history" and a surefire weapon for business warfare.



5. This Is a good book for anyone wanting to understand Six Sigma a little better. I had a basic overview of the Six Sigma concept but this book helped explain it in much more detail. I would recommend this to anyone looking to learn more about Six SIgma.

3 comments about Observational Studies.

1. Many years ago the famous statistician Ronald Aylmer Fisher criticized analyses that linked lung cancer to smoking. He argued that these studies had hidden biases because they were not controlled experiments. He proposed that smokers could be different from non-smokers because of a genetic propensity to desire cigarettes and that this genetic trait could be correlated with a higher incidence of lung cancer. Thus it would be possible to see a higher frequency of lung cancer among smokers because of this genetic trait rather than because the smoking itself causes the cancer. As far-fetched as this argument may seem to us today, it is based on sound statistical principles and points out some of the potential problems that occur with observational studies.

   Although randomized control trials are the best way to determine differences in treatment effects, they are not always practical or ethical. It would be wrong to randomly choose subjects and force some of them to smoke.

   Getting around issues of bias in observational studies was first addressed by Cochran who published a book on the subject in 1983. Rosenbaum came out with his own book in 1995 and this second edition expands and updates that popular text.

   In Chapter 1 he present examples of observational studies and raises many important issues. Chapter 2 explains the principles of randomized controlled experiments. In Chapter 3 he covers overt bias and some of the basic methods to adjust for it. The sensitivity of observational studies to hidden biases is covered in Chapter 4.

   This book is well written, authoritative and contains numerous references and examples. It also includes a chapter on how to plan an observational study.

   Such studies are very important to epidemiologists who want to discover the cause of an epidemic or a disease. With large data base it is possible to remove or adjust biases by matching subjects using propensity scores. Rosenbaum effectively describes how propensity scorng and stratification can be used to make observational studies behave more like randomized control trials.




2. The book is very well written. It gives a great overview of the fundamental problems of causal inference in observastional studies. It has a lot of examples, homeworks and extensive references in every chapter.



3. Many years ago the famous statistician Ronald Aylmer Fisher criticized analyses that linked lung cancer to smoking. He argued that these studies had hidden biases because they were not controlled experiments. He proposed that smokers could be different from non-smokers because of a genetic propensity to desire cigarettes and that this genetic trait could be correlated with a higher incidence of lung cancer. Thus it would be possible to see a higher frequency of lung cancer among smokers because of this genetic trait rather than because the smoking itself causes the cancer. As far-fetched as this argument may seem to us today, it is based on sound statistical principles and points out some of the potential problems that occur with observational studies.
   Although randomized control trials are the best way to determine differences in treatment effects, they are not always practical or ethical. It would be wrong to randomly choose subjects and force some of them to smoke.
   
   Getting around issues of bias in observational studies was first addressed by Cochran who published a book on the subject in 1983. Rosenbaum came out with his own book in 1995 and this second edition expands and updates that popular text.
   
   In Chapter 1 he present examples of observational studies and raises many important issues. Chapter 2 explains the principles of randomized controlled experiments. In Chapter 3 he covers overt bias and some of the basic methods to adjust for it. The sensitivity of observational studies to hidden biases is covered in Chapter 4.
   
   This book is well written, authoritative and contains numerous references and examples. It also includes a chapter on how to plan an observational study.
   
   Such studies are very important to epidemiologists who want to discover the cause of an epidemic or a disease. With large data base it is possible to remove or adjust biases by matching subjects using propensity scores. Rosenbaum effectively describes how propensity scorng and stratification can be used to make observational studies behave more like randomized control trials.

5 comments about Complete Business Statistics with Student CD (The Mcgraw-Hill/Irwin Series).

1. Dr. Jayavel Sounderpandian is my current professor at UW-Parkside for Business Statistics II (QM 211). He is an excellent instructor, and his book mirrors this.
   
   In class, we always joke about how "he wrote the book."



2. Hi there,
   
   I paid around $ 140 for this book and i was expecting this to be a brand new book. I received this book today and looking along the top on every page, they look a bit discoloured.
   
   Either this book is new and it was left in unclean surrounding OR this book is not new.
   
   I am not being fussy about this book, this book is readable, it is just that after paying that kind of money for a book i was personally expect it to be brand new. The feel and smell of a new book is different, if you know what i mean.
   
   
   I dont know how it works here on Amazon, but this is the first time, i was a little dissappointed especially when i was looking forward so much for this book.
   
   Name of the book is - Complete business statistics by Amir D Aczel.



3. Usual stats book, organized similarly to others. It incorporates use of excel templates via the chapters, problems and CD. Some are useful but some are cumbersome and the author puts too much emphasis on them as a tool. Some give an incorrect output. Found an error in a basic formula in the text, this should be corrected.
   Overall is an average stats book and overpriced for its value.



4. This is probably one of the best business (read: practitioner oriented) statistics books in the market. While covering a broad range of topics taking the reader from (introductory) descriptive statistics to (rather advanced) inferential statistics (hypothesis testing, etc.), it does so in a manner very easy to understand. This is not to say that you do not have to work your way: this is not a statistics cookbook but a solid reference to the "hows" and "whys" of statistics. Make sure you work along and you'll pretty soon have a very good grasp of the essentials.



5. Just awful. I hope you have a good prof, because the book makes things much harder. It makes assumptions that a person knows certain things (knowing the workings of Roulette, for instance, is necessary for many of the questions on probability). Just terrible.