2. On-line technical references on statistics and sampling

Anon. 2004. Electronic Statistics Textbook. Tulsa, OK. StatSoft, Inc.. (available at http://www.statsoft.com/textbook/stathome.html.)

This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material is based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.

Brack, C. 2000. A brief history of forest inventory. (available at http://sres.anu.edu.au/associated/mensuration/history.htm.)

On-line overview of forest inventories

Campbell, M.J. 1995. Statistics at Square One. (available at http://bmj.bmjjournals.com/collections/statsbk/.)

This online text puts emphasis on looking and plotting the data first, and on estimation rather than simple hypothesis testing. New techniques include stem and leaf plots, box whisker plots, data transformation, the chi-squared test for trend and t-test with unequal variance. There is a chapter on the design of studies.

Dallal, G.E. 2001. The Little Handbook of Statistical Practice. (available at http://www.tufts.edu/~gdallal/LHSP.HTM.)

This site focuses on explaining basic statistical practice--what happens when a statistician deals with data on a daily basis. Unnecessary technical detail is eliminated. The author believes that statistics is easy to learn if the beginning student avoids intellectual traps. Fall into them at the beginning, and statistics is hard. Avoid them from the outset, and statistics will be easy.

Garson, G.D. 2003. Statnotes: An Online Textbook. (available at http://www2.chass.ncsu.edu/garson/pa765/statnote.htm.)

Has useful sections on sampling, survey research, and numerous statistical techniques. Also has extensive bibliography.

Gerstman, B.B. 2003. StatPrimer: Statistics for Public Health Practice. (available at http://www2.sjsu.edu/faculty/gerstman/StatPrimer/.)

General technical topics in basic and intermediate statistical analysis. Includes section on how to determine necessary sample size.

Hopkins, W.G. 2004. A New View of Statistics. (available at http://www.sportsci.org/resource/stats/.)

This web site is aimed at researchers and students in the sport and exercise sciences, but it is potentially valuable to those in other disciplines. This site does not dwell on most details of computation, but rather it is designed to provide a better understanding of the concepts behind a broad range of statistical techniques. It includes a new and unified treatment of ways to estimate and reduce sample sizes, effect statistics and their magnitudes, validity and reliability, confidence intervals, statistical significance and hypothesis testing, Bayesian analysis, a new way to understand all statistical models, non-parametric analyses, and repeated measures with missing values. The site prides itself on use of plain language in discussing technical subjects.

Schreuder, H.T., Ernst, R., and Ramirez-Maldanado, H. 2004. Statistical techniques for sampling and monitoring natural resources. Gen. Tech. Rep. RMRS-GTR-126., United states, USDA Forest Service, Rocky Mountain Research Station, Ft. Collins, CO.. (available at http://www.fs.fed.us/rm/pubs/rmrs_gtr126.html.)

This text presents the statistical theory of inventory and monitoring from a probabilistic point of view. It is a free, popular version of the 1993 text by Schreuder, Gregoire and Wood (S.N. 1002). It starts with the basics and shows the interrelationships between designs and estimators. It includes useful open source software. Various sources of ancillary information are described and applications of the sampling strategies are discussed. Classical and bootstrap variance estimators are discussed also. Numerous problems with solutions are given, often based on the experiences of the authors. Key additional references are cited as needed or desired.

Stockburger, D.W. 1998. Introductory Statistics: Concepts, Models, and Applications web site. (available at http://www.psychstat.smsu.edu/sbk00.htm.)

The major features of this on-line text include development of the concept of creating mathematical models of the world; an extensive treatment of measurement and measurement scales as a model-building procedure; frequency polygons, models of frequency polygons, the normal curve, and statistics; presentation of transformations, linear transformations, and then linear regression. Almost all computational formulas are eliminated. It includes a general discussion of how to use a statistical calculator, which eliminates tables, such as the normal curve table. This Web Edition presents many examples of the use of SPSS/WIN 7.0 to do statistical procedures. It presents hypothesis testing as a process of testing mathematical models of the world