I recently asked a similar question (here, I think) and someone recommended Freund's Mathematical Statistics. I have been looking this over, and it looks very good, and intermediate between the green books and Hogg and Craik.
At least some of the green series is very good, and Hogg and Craik is a classic, but the former (mostly) aren't that theoretical and the latter is very hard (at least for me). But I'd be interested in a discussion of how and what to learn about math stat - my background is in psychometrics; I;ve done a fair amount of data analysis, and have had a couple semesters of calculus (long ago). I am plowing through Khuri's book on Advanced Calculus with applications in statistics, which is a stretch for me. Peter Peter L. Flom, PhD Assistant Director, Statistics and Data Analysis Core Center for Drug Use and HIV Research National Development and Research Institutes 71 W. 23rd St www.peterflom.com New York, NY 10010 (212) 845-4485 (voice) (917) 438-0894 (fax) >>> [EMAIL PROTECTED] 5/11/2004 2:24:49 PM >>> Hi Daniel, The first thing to do is make sure that your mathematics background is both sufficient and up-to-date. You will need a working knowledge of matrix algebra (linear algebra) and some calculus at a minimum for deep theoreticial understanding. The deep understanding comes from theoretical probability and statistics. In my day "Hogg and Craig" was the basic text of choice for this. Lots of proofs and basic theory. If you don't want to go quite that deep, I think a good place to start would be the Sage Quantitative Series green books. They are short, relatively easy to understand, and go a level or two deeper than Tabachnick and Fidell, but not as deep as Hogg and Craig. I believe the website is www.sagepub.com. The Sage books would be my first choice for self study. MG **************************************************** Michael Granaas [EMAIL PROTECTED] Assoc. Prof. Phone: 605 677 5295 Dept. of Psychology FAX: 605 677 3195 University of South Dakota 414 E. Clark St. Vermillion, SD 57069 ***************************************************** ----- Original Message ----- From: [EMAIL PROTECTED] (Daniel Menke) Date: Monday, May 10, 2004 2:22 am Subject: [edstat] Getting a deeper look inside statistics and more > Hello all, > > I?m a psychology graduate student. Our stats education was mostly an > introductory text on basic statistical methods (descriptive stats and > inferential stats, like some basic probability, t-test, one-way ANOVA, > correlation and regression, some non-parametric tests) and Tabachnick > & Fidell?s ?Understanding multivariate statistics? (also an > introductory SPSS course). We didn?t get a look inside fields like > computational statistics, data / data base management, neural networks > or system theory. > > In my opinion, this is not enough. Personally, I want to get a much > deeper look inside statistics and data analysis, as well as > mathematical backgrounds (a mathematical ?backbone?) to get a profound > knowledge of (and become more competent in) these fields. > > My goal would be to cope mostly in fields like market research, > biometry (e.g. pharmaceutical research or any kind of clinical > research) or (program) evaluation, but also in fields like complex > behavior prediction / prognosis (e.g. costumer?s behavior or traffic > behavior), decision making processes, development of decision > strategies, development of complex psychological assessment tools > (based on IRT Models) or even statistical consulting. > > Are there any recommendations on books (a books list / curriculum) I > should / could study (English or German)? It will take ?some? time, > I?m aware of that, but I really want to try. > > > Thanks and regards, > Daniel > . > . > ================================================================= > Instructions for joining and leaving this list, remarks about the > problem of INAPPROPRIATE MESSAGES, and archives are available at: > . http://jse.stat.ncsu.edu/ . > ================================================================= > . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . ================================================================= . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
