Useful Books and Journals

These are journals every practicing statistical consultant should know about. In addition, the statistical journals are mostly accessible to scientists who seek statistical consulting advice.

General Science

British Medical Journal
Science News: PO Box 1925, Marion, OH 43305, ph: 1-800-247-2160
Discover: PO Box 420105, Palm Coast, FL 32142-1015, ph: 1-800-829-9132
American Scientist Magazine of Sigma Xi, The Scientific Research Society: Sigma Xi Scientific Research Society PO Box 13975, Research Triangle Park, NC 27709. ph: 1-919-549-4691
Nature: UK
Science: American Association for the Advancement of Science (AAAS)
Scientific American
The Scientist
"When You Consult a Statistician... What to Expect": Berman N, Gansky S, Guillon C, Loughin T, Sanchez M (2003). American Statistical Association Section on Statistical Consulting Brochure.

Statistics for a General Audience

American Statistician: American Statistical Association, 732 North Washington Street, Alexandria, VA 22314-1943, ph: 1-508-750-8400 (asainfo@amstat.org)
Statistical Science: Institute of Mathematical Statistics, 3401 Investment Boulevard #7, Hayward, CA 94545-3819-18
Stats: The Magazine for Students of Statistics: American Statistical Association, 732 North Washington Street, Alexandria, VA 22314-1943, ph: 1-508-750-8400 (asainfo@amstat.org)

Technical Journals with Application Emphasis

Applied Statistics (JRSSC): Royal Statistical Society (RSS), Journals Marketing Manager, Blackwell Publishers, 108 Cowley Road, Oxford, OX4 1JF, UK, ph/fax: 011-44-0865-722-964
Biometrics: International Biometric Society (IBS) , 808 17th Street, NW #200, Washington, DC 20006-3910
Journal of Agricultural, Biological and Environmental Statistics (JABES),: ASA & IBS
Statistics in Medicine
Technometrics: American Society for Quality (ASQ) and ASA

General

Snedecor and Cochran remains the best single text for a practicing statistician or scientist. There are many introductory texts, of which two very readable ones are mentioned.

D Freedman, R Pisani, R Purves & A Adhikari (1991): Statistics, 2nd ed, WW Norton. [See review in The Statistician (JRSSD) 42, 74-75.]
RL Wardrop (1995): Statistics: Learning in the Presence of Variation, Wm. C. Brown. [See review in American Statistician 49, 237-238.] Note: Although Brown has dropped all their statistics textbooks, rumors are that copies of this one are still available from the author.
L Gonick and S Woollcott (1993): The Cartoon Guide to Statistics, HarperPerennial.
Snedecor & Cochran (1989): Statistical Methods, 8th ed, Blackwell Publishing [See reviews in J Quality Technology 22, 252-253, and J American Statistical Association (JASA) 86, 834.]

Experimental Design

Many books in other sections contain major sections on design. The books listed here are classics, and still valuable.

Box, Hunter and Hunter (1978): Statistics for Experimenters, Wiley
Cochran (1977): Sampling Techniques, 3rd ed, Wiley
Cochran and Cox (1950): Experimental Designs, 2nd ed, Wiley
Cox (1958): Planning of Experiments, Wiley
Fisher (1971): The Design of Experiments, Hafner Press,

Linear Models

Linear models comprises the subjects of regression and analysis of variance, as well as the hybrid analysis of covariance. This listed is divided roughly into accessible and more advanced. See also titles under data analysis.

Box and Draper (1987): Empirical Model-Building and Response Surfaces, Wiley
Chatterjee and Price (1977): Regression Analysis by Example, Wiley
Draper and Smith (1981): Applied Regression Analysis, 2nd ed, Wiley
Frees (1996): Data Analysis Using Regression Models: The Business Perspective, Prentice-Hall
Hocking (1985): The Analysis of Linear Models, Brooks/Cole
Miller (1980): Simultaneous Statistical Inference, 2nd ed, Springer-Verlag
Neter, Wasserman and Kutner (1985): Applied Linear Statistical Models, 2nd ed, Irwin
Scheffe (1959): The Analysis of Variance, Wiley
Searle (1971): Linear Models, Wiley
Searle (1987): Linear Models for Unbalanced Data, Wiley
Seber (1977): Linear Regression Analysis, Wiley

Data Analytical Topics

These books are largely problem oriented, with attention to design, analysis and graphics. However, most books on this page deal with data analysis.

Cox and Snell (1981): Applied Statistics, Principles and Examples, Chapman & Hall
Milliken and Johnson (1992): Analysis of Messy Data 1: Designed Experiments, 2nd ed. Chapman & Hall
Milliken and Johnson (1989): Analysis of Messy Data 2: Nonreplicated Experiments, Chapman & Hall
Yandell (1997): Practical Data Analysis for Designed Experiments, Chapman & Hall
Bates and Watts (1988): Nonlinear Regression Analysis and Its Applications, Wiley
Mosteller and Tukey (1977): Data Analysis and Regression, Addison-Wesley
Tukey (1977): Exploratory Data Analysis, Addison-Wesley

Statistical Graphics

There are some very clever ideas about graphics in these books.

Chambers, Cleveland, Kleiner and Tukey (1983): Graphical Methods for Data Analysis, Wadsworth
Tufte (1983): The Visual Display of Quantitative Information, Graphics Press, Chesire, Conn.
Cleveland (1985): The Elements of Graphing Data, Wadsworth
Cleveland (1993): Visualizing Data, AT&T Bell Labs
Michael Friendly's Graphical Methods
ASA Statistical Graphics Section

Nonparametric Techniques

Both of these books have lots of examples and avoid heavy math.

Conover (1980): Practical Nonparametric Statistics, 2nd ed, Wiley
Lehmann (1975): Nonparametrics, Holden-Day

Categorical Data

This area typically has more involved notation and is trickier to use than linear models. However, the accessible books do a nice job of developing main ideas. The latter books are helpfull for a deeper understanding of the subject matter.

Cox and Snell (1989): Analysis of Binary Data, 2nd ed, Chapman & Hall
Everitt (1977): The Analysis of Contingency Tables, Halsted
Fienberg (1980): The Analysis of Cross-Classified Categorical Data, 2nd ed, MA Inst Tech (MIT) Press
Fahrmeir and Tutz (1994): Multivariate Statistical Modelling Based on Generalized Linear Models, Springer-Verlag
Hastie and Tibshirani (1990): Generalized Additive Models, Chapman & Hall
McCullagh and Nelder (1989): Generalized Linear Models, 2nd ed, Chapman & Hall

Multivariate Analysis

Multivariate analysis is by nature a more advanced topic. All of these books have merit. At present, I prefer Krzanowski and the SAGE series.

Krzanowski (1988): Principles of Multivariate Analysis: A User's Perspective, Oxford
Morrison (1976): Multivariate Statistical Methods, McGraw-Hill
SAGE Series: Quantitiative Applications in the Social Sciences: has several short books on multivariate analysis topics
Anderson (1984): An Introduction to Multivariate Statistical Analysis, 2nd ed, Wiley
Gnanadesikan (1977): Methods for Statistical Data Analysis of Multivariate Observations, Wiley
Seber (1984): Multivariate Observations, Wiley

Repeated Measures

Repeated measures, longitudinal analysis and time series are all interrelated. These topics are also addressed in some books in the linear models and multivariate analysis sections.

Box, Jenkins and Reinsel (1977): Time Series Analysis: Forecasting and Control, 3rd ed, Prentice-Hall
Crowder and Hand (1990): Analysis of Repeated Measures, Chapman & Hall
Diggle, Liang and Zeger (1994): Analysis of Longitudinal Data, Clarendon Press.
Rovine and von Eye (1991): Applied Computational Statistics in Longitudinal Research, Academic Press
Winer (1971): Statistical Principles in Experimental Design, McGraw-Hill

Biostatistics

Biostatistics comprises medical and/or biological statistics, largely focussed on human biological systems. It generally includes the topics of clinical trials, survival analysis and epidemiology. Zar is very popular among practicioners. Kalbfleisch and Prentice is a standard, advanced reference.

D Collett (1994): Modelling Survival Data in Medical Research, Chapman & Hall
Fleiss (1986): The Design and Analysis of Clinical Experiment, Wiley
Woolson (1987): Statistical Methods for the Analysis of Biomedical Data
JH Zar (1984): Biostatistical Analysis (2nd ed) Prentice-Hall
Fisher and van Belle (1993): Biostatistics: A Methodology for the Health Sciences, Wiley
Kalbfleisch and Prentice (1980): The Statistical Analysis of Failure Time Data, Wiley

Quality

This includes some books on quality.

American Society for Quality (ASQ)
Kenett: Ron Kenett's Books on Quality

Miscellaneous

This includes some books of general interest about consulting, as well as references on distributions and statistical topics in general.

Applied Stat Discussion List - its focus is discussion issues of applied statisticians

Another good site for information can be found here.

Christopher Chatfield (1988): Problem solving: A statistician's guide, Chapman & Hall
J Derr (2000): Statistical Consulting: A Guide to Effective Communication, Duxbury Press
Huff (1954): How to Lie with Statistics, WW Norton
Johnson and Kotz (1969-1972): four volumes on Distributions in Statistics, Wiley
Kotz and Johnson (1982): Encyclopedia of Statistical Sciences, Wiley