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