Bradley Books
Related Subjects: Bradley, Bill
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Fantastic Cookbook!Review Date: 2008-08-20
A must to own even if you don't cook (yet)Review Date: 2008-07-26

What MZB thought of Sword of AldonesReview Date: 2003-01-23
Sword of Aldones was my absolute all time favorite Darkover novel, and that's still true today -- which was a disappointment to MZB.
You see SoA was her first actual forray into attempting to take the embarrassingly juvenile "Sevener" series she wrote for personal amusement (as we today write Star Trek and Buffy stories)and turn it into a professional product.
It's sale was a milestone in her life and professional career -- but she always knew and felt that it had technical and structural flaws. She felt the characters did a lot of running around, and people, issues and things popped out of nowhere, and the whole thing lacked a central motivational backbone.
But you see - that is what I love about it.
I just made up all the missing parts and never missed them.
Thus while the rewrite of this part of Darkovan history is now the actual basis of the series, and SoA is ignored -- I found the rewrite less enjoyable because it told me the answers to all the unanswerable questions posed in SoA (which I had so much fun answering for myself).
Because MZB and I are so very - VERY - different people, of course what I made up to explain the inexplicable is very different from what she eventually supplied.
However, if you are as much of a Darkover fan as I am (I found Darkover when I was a Freshman at the U. of Calif at Berkeley - which is when I also discovered Theodore Bikel -- these two having literally changed my life) -- then you need to read and compare these two books and decide for yourself which is the actual foundation of the Darkover series.
At the same time you will discover one of the foundations of my own Sime Gen Universe, now available on amazon.com. Sime Gen: The Unity Trilogy is much more like Sword of Aldones than it is like Sharra's Exile.
Live Long and Prosper,
Jacqueline
Lichtenberg
Better than Sharra's Exile?Review Date: 1999-01-26

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Polish ChicagoReview Date: 2008-05-22
An interesting blend.Review Date: 2008-05-20

Excellent science bookReview Date: 2005-08-15
great for bubble blowersReview Date: 2002-08-30
It's great for kids ages 4-10. It tell how bubbles are made and why they are round and things like that. The pictures are great also!!


Super BookReview Date: 2002-10-28
It reminds me of myselfReview Date: 2001-03-14
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Practical Time Management: How to Get More Things Done in Less Time (Self-Counsel Business Series)Review Date: 2005-10-04
Timely AdviceReview Date: 2001-05-06

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Probable Cause Rocks Hard!Review Date: 2006-02-22
A very thoughtful and intense book that hits home!Review Date: 2006-02-14


Statistical Case Studies from RAND defy public mythsReview Date: 2000-06-19
Many of the leaders of this group have participated in writing these studies including several who have moved on to careers elsewhere (e.g. Bob Bell, now at AT&T Labs - Research; John Rolph, now at USC; Jim Hodges, now at University of Minnesota; and Carl Morris, now at Harvard University).
Those currently at RAND who have contributed include Allan Abrahamse, John Adams, Phyllis Ellickson, Lionel Galway, Catherine Jackson, Dan McCaffrey, Sally Morton and Dan Relles. This is a mix of very seasoned RAND statisticians along with some junior members and colleagues. Several members of the group did not contribute to the case studies but well could have. I was particularly surprised at the absence of Naihua Duan who is an ASA fellow and has contributed to major health studies at RAND. Naihua has also been responsible for innovations while at RAND including contributions to sliced inverse regression and transformation "smearing" methods.
Nevertheless, the collection of studies are both interesting and important to the public and in several cases the findings go counter to the popular information in the media. Well-known Stanford Statistics Professor Brad Efron calls the media statements "misinformation" and "disinformation" and claims that RAND gets it right in his foreward to the book. Many Stanford students and colleagues of Efron had careers at RAND including Bob Bell, Naihua Duan, Carl Morris, Bill Rogers and Sally Morton.
There are a total of 10 case studies included. The first three are categorized as primarily addressing the collection of data (addressing issues in the design phase). The next three are considered to be primarily addressing the detection of effects (estimation or hypothesis testing aspects of statistical analysis) and the last four are considered to emphasize the understanding of relationships.
I have skimmed through all ten case studies and have read case numbers 3, 4, 5 and 7 in detail. The topics are as follows: 1. School-Based Drug Prevention by Bell and Ellickson. 2. The Health Insurance Experiment by Morris and Hill. 3. Counting the Homeless by Abrahamse. 4. Periodicity in the Global Mean Temperature Series? by Adams, Hammitt and Hodges. 5. Racial Bias in Death Sentencing by Morton and Rolph. 6. Malpractice and the Impaired Physician by McGuigan and Rolph. 7. Supply Delays for F-14 Jet Engine Repair Parts by Galway. 8. Hospital Mortality Rates by Thomas and Rolph. 9. Eye-Care Supply and Need by Relles, Jackson and Lee. 10. Modeling Block Grant Formulas for Substance Abuse Treatment by McCaffrey and Adams.
Analysis in #3 indicates that there are only about 400 homeless in Orange County as opposed to public estimates and claims of 4000 or more. Results in #4 indicate that the data are inconclusive regarding a global warming effect. In #5 both logistic regression and tree classification methods are used to show no clear bias in death sentencing based on the race of the victim. In #7 careful analysis of the data reveal that transporting supplies is the key factor in delays for getting repair parts for the engines and not the slow procurement process.
As an applied statistician who does a fair amount of consulting, I always find good case studies to be enlightening and helpful to me in my practice of statistics. These articles are very good and enlightening and they follow a common format. They start with an executive summary that provides an overview and the bottom line results. This is followed by an introductory section and then a section describing the study design, data collection, data sources and elements. The third section deals with datafile creation, descriptive statistics and exploratory data analysis. The fourth section covers statistical methods and models used. The fifth section gives results. Section 6 is a discussion section which may include summary, possible future extensions of the analysis, and conclusion and recommendations. The final section provides exercises. This last section is excellent for a course based on the case studies as it tests the student knowledge based on material learned in the case study. Sometimes self-contained problems are given but in other cases the reader is referred to the casebook web page at the RAND web site where data sources can be found to do the exercises.
In practical work I have always found that a clear understanding of the problem and good descriptive statistics and/or graphics are far more important than the particular method of analysis (which often times can be very elementary). These studies exhibit this principle well. In many cases good exploratory analysis, good design and clear understanding lead to the key results and the appropriate statistical methods. These methods are usually simple and elementary although some are fairly new tools (e.g. bootstrap, tree classification and empirical Bayes methods).
nice collection of articles representative of RAND's work in public policyReview Date: 2008-02-09
Many of the leaders of this group have participated in writing these studies including several who have moved on to careers elsewhere (e.g. Bob Bell, now at AT&T Labs - Research; John Rolph, now at USC; Jim Hodges, now at University of Minnesota; and Carl Morris, now at Harvard University).
Those currently at RAND who have contributed include Allan Abrahamse, John Adams, Phyllis Ellickson, Lionel Galway, Catherine Jackson, Dan McCaffrey, Sally Morton and Dan Relles. This is a mix of very seasoned RAND statisticians along with some junior members and colleagues. Several members of the group did not contribute to the case studies but well could have. I was particularly surprised at the absence of Naihua Duan who is an ASA fellow and has contributed to major health studies at RAND. Naihua has also been responsible for innovations while at RAND including contributions to sliced inverse regression and transformation "smearing" methods.
Nevertheless, the collection of studies are both interesting and important to the public and in several cases the findings go counter to the popular information in the media. Well-known Stanford Statistics Professor Brad Efron calls the media statements "misinformation" and "disinformation" and claims that RAND gets it right in his foreward to the book. Many Stanford students and colleagues of Efron had careers at RAND including Bob Bell, Naihua Duan, Carl Morris, Bill Rogers and Sally Morton.
There are a total of 10 case studies included. The first three are categorized as primarily addressing the collection of data (addressing issues in the design phase). The next three are considered to be primarily addressing the detection of effects (estimation or hypothesis testing aspects of statistical analysis) and the last four are considered to emphasize the understanding of relationships.
I have skimmed through all ten case studies and have read case numbers 3, 4, 5 and 7 in detail. The topics are as follows: 1. School-Based Drug Prevention by Bell and Ellickson. 2. The Health Insurance Experiment by Morris and Hill. 3. Counting the Homeless by Abrahamse. 4. Periodicity in the Global Mean Temperature Series? by Adams, Hammitt and Hodges. 5. Racial Bias in Death Sentencing by Morton and Rolph. 6. Malpractice and the Impaired Physician by McGuigan and Rolph. 7. Supply Delays for F-14 Jet Engine Repair Parts by Galway. 8. Hospital Mortality Rates by Thomas and Rolph. 9. Eye-Care Supply and Need by Relles, Jackson and Lee. 10. Modeling Block Grant Formulas for Substance Abuse Treatment by McCaffrey and Adams.
Analysis in #3 indicates that there are only about 400 homeless in Orange County as opposed to public estimates and claims of 4000 or more. Results in #4 indicate that the data are inconclusive regarding a global warming effect. In #5 both logistic regression and tree classification methods are used to show no clear bias in death sentencing based on the race of the victim. In #7 careful analysis of the data reveal that transporting supplies is the key factor in delays for getting repair parts for the engines and not the slow procurement process.
As an applied statistician who does a fair amount of consulting, I always find good case studies to be enlightening and helpful to me in my practice of statistics. These articles are very good and enlightening and they follow a common format. They start with an executive summary that provides an overview and the bottom line results. This is followed by an introductory section and then a section describing the study design, data collection, data sources and elements. The third section deals with datafile creation, descriptive statistics and exploratory data analysis. The fourth section covers statistical methods and models used. The fifth section gives results. Section 6 is a discussion section which may include summary, possible future extensions of the analysis, and conclusion and recommendations. The final section provides exercises. This last section is excellent for a course based on the case studies as it tests the student knowledge based on material learned in the case study. Sometimes self-contained problems are given but in other cases the reader is referred to the casebook web page at the RAND web site where data sources can be found to do the exercises.
In practical work I have always found that a clear understanding of the problem and good descriptive statistics and/or graphics are far more important than the particular method of analysis (which

Great bookReview Date: 2002-12-04
Great bookReview Date: 2002-12-04

Used price: $1.87

A Brave SubjectReview Date: 2001-05-04
excellent book - uncomfortable subjectReview Date: 2000-03-15
Related Subjects: Bradley, Bill
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