ASA Consulting Section
Useful Books & Journals
The reference books below have proven to be helpful
in statistical consulting. As a rule, they are written in such a way that
relevant sections can be shared between statistician and scientist. More
advanced texts may be separated and placed toward the end of a section.
This list is not meant to be exhaustive; many other books
could serve as excellent references. Suggestions and/or comments can be
sent by email to allenie@babson.edu.
Useful 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: 18002472160
 Discover
 PO Box 420105, Palm Coast, FL 321421015, ph: 18008299132
 American
Scientist Magazine of Sigma Xi, The Scientific Research Society
 Sigma
Xi Scientific Research Society PO Box 13975, Research Triangle Park,
NC 27709. ph: 19195494691
 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 223141943,
ph: 15087508400 (asainfo@amstat.org)
 Statistical
Science
 Institute of Mathematical Statistics, 3401 Investment
Boulevard #7, Hayward, CA 94545381918
 Stats:
The Magazine for Students of Statistics
 American
Statistical Association, 732 North Washington Street, Alexandria, VA 223141943,
ph: 15087508400 (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: 011440865722964
 Biometrics
 International Biometric Society (IBS) , 808 17th
Street, NW #200, Washington, DC 200063910
 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,
7475.]
 RL Wardrop
(1995)
 Statistics: Learning in the Presence of
Variation, Wm. C. Brown. [See review in American Statistician
49, 237238.] 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,
252253, 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 ModelBuilding 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, PrenticeHall
 Hocking (1985)
 The Analysis of Linear Models, Brooks/Cole
 Miller (1980)
 Simultaneous Statistical Inference,
2nd ed, SpringerVerlag
 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, AddisonWesley
 Tukey (1977)
 Exploratory Data Analysis, AddisonWesley
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, HoldenDay
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 CrossClassified Categorical
Data, 2nd ed, MA Inst Tech (MIT) Press
 Fahrmeir and Tutz (1994)
 Multivariate Statistical Modelling Based
on Generalized Linear Models, SpringerVerlag
 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, McGrawHill
 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, PrenticeHall
 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,
McGrawHill
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) PrenticeHall
 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 (19691972)
 four volumes on Distributions in Statistics,
Wiley
 Kotz and Johnson (1982)
 Encyclopedia of Statistical Sciences,
Wiley

