Bibliography for Applied Linear Regression, 4th Edition

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AGRESTI, A. (2007).
An Introduction to Categorical Data Analysis.
2nd ed. Wiley, Hoboken NJ.

AGRESTI, A. (2013).
Categorical Data Analysis.
3rd ed. Wiley, Hoboken NJ.

ALLISON, P. D. (2001).
Missing data.
Quantitative Applications in the Social Sciences, Sage, Thousand Oaks CA.

ALLISON, T. and CICCHETTI, D. V. (1976).
Sleep in mammals: Ecological and constitutional correlates.
Science, 194 pp. 732-734.
URL http://www.jstor.org/stable/1743947.

ANSCOMBE, F. J. (1973).
Graphs in statistical analysis.
The American Statistician, 27 17-21.
URL http://www.jstor.org/stable/2682899.

ATKINSON, A. C. (1985).
Plots, Transformations and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis.
Clarendon Press, Oxford.

BAES, C. and KELLOGG, H. (1953).
Effects of dissolved sulphur on the surface tension of liquid copper.
Journal of Metals, 5 643-648.

BARNETT, V. and LEWIS, T. (1994).
Outliers in Statistical Data.
3rd ed. Wiley, Hoboken NJ.

BATES, D. and WATTS, D. (1988).
Nonlinear Regression Analysis and Its Applications.
Wiley, Hoboken NJ.

BECKMAN, R. J. and COOK, R. D. (1983).
Outlier..........s.
Technometrics, 25 119-149.
URL http://www.jstor.org/stable/1268541.

BENJAMINI, Y. and HOCHBERG, Y. (1995).
Controlling the false discovery rate: A practical and powerful approach to multiple testing.
Journal of the Royal Statistical Society. Series B (Methodological), 57 289-300.
URL http://www.jstor.org/stable/2346101.

BERTALANFFY, L. (1938).
A quantitative theory of organic growth (inquiries on growth laws II).
Human biology, 10 181-213.
URL http://www.jstor.org/stable/41447359.

BERZUINI, C., DAWID, P. and BERNARDINELLI, L. (eds.) (2012).
Causality: Statistical Perspectives and Applications.
Wiley, Hoboken NJ.

BLESKE-RECHEK, A. and FRITSCH, A. (2011).
Student consensus on ratemyprofessors.com.
Practical Assessment, Research & Evaluation, 16.
[Online; accessed 07-April-2013], URL http://pareonline.net/getvn.asp?v=16&n=18.

BLOM, G. (1958).
Statistical Estimates and Transformed Beta Variables.
Wiley, New York.

BOWMAN, A. W. and AZZALINI, A. (1997).
Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations.
Oxford University Press, Oxford.

BOX, G., JENKINS, G. and REINSEL, G. (2008).
Time Series Analysis: Forecasting and Control.
4th ed. Wiley, Hoboken NJ.

BOX, G. E. P. and COX, D. R. (1964).
An analysis of transformations.
Journal of the Royal Statistical Society. Series B (Methodological), 26 211-252.
URL http://www.jstor.org/stable/2984418.

BRETZ, F., HOTHORN, T., WESTFALL, P. and WESTFALL, P. (2010).
Multiple Comparisons Using R.
Chapman & Hall/CRC, Boca Raton FL.

BREUSCH, T. S. and PAGAN, A. R. (1979).
A simple test for heteroscedasticity and random coefficient variation.
Econometrica, 47 1287-1294.
URL http://www.jstor.org/stable/1911963.

BRILLINGER, D. (1983).
A generalized linear model with ``Gaussian" regressor variables.
A Festschrift for Erich L. Lehmann in Honor of His Sixty-Fifth Birthday 97-114.

BROWN, P. (1993).
Measurement, Regression, and Calibration.
Oxford Scientific Publications, Oxford.

BURNSIDE, O. C., WILSON, R. G., WEISBERG, S. and HUBBARD, K. G. (1996).
Seed longevity of 41 weed species buried 17 years in eastern and western nebraska.
Weed Science, 44 pp. 74-86.
URL http://www.jstor.org/stable/4045786.

BURT, C. (1966).
The genetic determination of differences in intelligence: A study of monozygotic twins reared together and apart.
British Journal of Psychology, 57 137-153.
URL http://dx.doi.org/10.1111/j.2044-8295.1966.tb01014.x.

CARPENTER, J. and KENWARD, M. (2012).
Multiple Imputation and its Application.
Wiley, Hoboken NJ.
[Online; accessed 07-April-1023], URL http://missingdata.lshtm.ac.uk.

CASELLA, G. and BERGER, R. (2001).
Statistical Inference.
Duxbury Press, Pacific Grove CA.

CENTERS FOR DISEASE CONTROL (2013).
Youth risk behavior surveillance system.
[Online; accessed 18-February-2013], URL http://www.cdc.gov/HealthyYouth/yrbs/index.htm.

CHEN, C.-F. (1983).
Score tests for regression models.
Journal of the American Statistical Association, 78 158-161.
URL http://www.jstor.org/stable/2287123.

CHRISTENSEN, R. (2011).
Plane Answers to Complex Questions: The Theory of Linear Models.
4th ed. Springer, New York.

CLAPHAM, A. (1934).
English Romanesque Architecture after the Conquest.
Clarendon Press, Oxford.

CLARK, R., HENDERSON, H., HOGGARD, G., ELLISON, R. and YOUNG, B. (1987).
The ability of biochemical and haematological tests to predict recovery in periparturient recumbent cows.
New Zealand Veterinary Journal, 35 126-133.
URL http://dx.doi.org/10.1080/00480169.1987.35410.

CLAUSIUS, R. (1850).
Über die bewegende Kraft der Wärme und die Gezetze welche sich daraus für Wärmelehre selbst abeiten lassen.
Annelen der Physik, 79 500-524.

CLEVELAND, W. S. (1979).
Robust locally weighted regression and smoothing scatterplots.
Journal of the American Statistical Association, 74 829-836.
URL http://www.jstor.org/stable/2286407.

COCHRAN, W. (1977).
Sampling Techniques.
3rd ed. Wiley, Hoboken NJ.

COLLETT, D. (2003).
Modelling Binary Data.
2nd ed. Chapman & Hall, Boca Raton FL.

COLORADO CLIMATE CENTER (2012).
Colorado climate center monthly data access.
[Online; accessed 6-April-2012], URL http://ccc.atmos.colostate.edu/cgi-bin/monthlydata.pl.

COOK, R. D. (1977).
Detection of influential observation in linear regression.
Technometrics, 19 15-18.
URL http://www.jstor.org/stable/1268249.

COOK, R. D. (1986).
Assessment of local influence.
Journal of the Royal Statistical Society. Series B (Methodological), 48 pp. 133-169.
URL http://www.jstor.org/stable/2345711.

COOK, R. D. (1998).
Regression Graphics: Ideas for Studying Regressions Through Graphics.
Wiley, Hoboken NJ.

COOK, R. D. and PRESCOTT, P. (1981).
On the accuracy of bonferroni significance levels for detecting outliers in linear models.
Technometrics, 23 59-63.
URL http://www.jstor.org/stable/1267976.

COOK, R. D. and WEISBERG, S. (1982).
Residuals and Influence in Regression.
Chapman & Hall/CRC, Boca Raton FL.
[Online; accessed 07-April-2013], URL http://hdl.handle.net/11299/37076.

COOK, R. D. and WEISBERG, S. (1983).
Diagnostics for heteroscedasticity in regression.
Biometrika, 70 1-10.
URL http://www.jstor.org/stable/2335938.

COOK, R. D. and WEISBERG, S. (1994).
Transforming a response variable for linearity.
Biometrika, 81 731-737.
URL http://www.jstor.org/stable/2337076.

COOK, R. D. and WEISBERG, S. (1999a).
Applied Regression Including Computing and Graphics.
Wiley, New York.

COOK, R. D. and WEISBERG, S. (1999b).
Graphs in statistical analysis: Is the medium the message?
The American Statistician, 53 29-37.
URL http://www.jstor.org/stable/2685649.

COOK, R. D. and WITMER, J. A. (1985).
A note on parameter-effects curvature.
Journal of the American Statistical Association, 80 872-878.
URL http://www.jstor.org/stable/2288546.

COX, D. (1958).
Planning of Experiments.
Wiley, Hoboken NJ.

CUNNINGHAM, R. and HEATHCOTE, C. (1989).
Estimating a non-gaussian regression model with multicollinearity.
Australian & New Zealand Journal of Statistics, 31 12-17.

DALAL, S. R., FOWLKES, E. B. and HOADLEY, B. (1989).
Risk analysis of the space shuttle: Pre-challenger prediction of failure.
Journal of the American Statistical Association, 84 945-957.
URL http://www.jstor.org/stable/2290069.

DANIEL, C. and WOOD, F. (1980).
Fitting Equations to Data: Computer Analysis of Multifactor Data.
Wiley, Hoboken NJ.

DAVISON, A. C. and HINKLEY, D. V. (1997).
Bootstrap Methods and their Application.
Cambridge University Press, Cambridge.

DAWSON, R. (1995).
The ``unusual episode'' data revisited.
Journal of Statistics Education, 3.
URL http://www.amstat.org/publications/JSE/v3n3/datasets.dawson.html.

DE BOOR, C. (1978).
A Practical Guide to Splines.
Springer, New York.

DERRICK, A. (1992).
Development of the measure-correlate-predict strategy for site assessment.
In Proceedings of the 14th BWEA Conference. 259-265.

DODSON, S. (1992).
Predicting crustacean zooplankton species richness.
Limnology and Oceanography, 37 pp. 848-856.
URL http://www.jstor.org/stable/2837943.

EFRON, B. (1979).
Bootstrap methods: another look at the jackknife.
The Annals of Statistics, 7 1-26.
URL http://www.jstor.org/stable/2958830

EFRON, B. and TIBSHIRANI, R. (1993).
An Introduction to the Bootstrap.
Chapman & Hall/CRC, Boca Raton FL.

EICKER, F. (1963).
Asymptotic normality and consistency of the least squares estimators for families of linear regressions.
The Annals of Mathematical Statistics, 34 447-456.
URL http://www.jstor.org/stable/2238390.

EICKER, F. (1967).
Limit theorems for regressions with unequal and dependent errors.
In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1. University of California Press Berkeley, 59-82.

EZEKIEL, M. and FOX, K. (1959).
Methods of Correlation and Regression Analysis: Linear and Curvilinear.
Wiley, Hoboken NJ.

FAIR ISAAC CORPORATION (2013).
myfico.
[Online; accessed 7-March-2013], URL http://www.myfico.com/CreditEducation/WhatsInYourScore.aspx.

FAN, J. and LI, R. (2001).
Variable selection via nonconcave penalized likelihood and its oracle properties.
Journal of the American Statistical Association, 96 pp. 1348-1360.
URL http://www.jstor.org/stable/3085904.

FEDERAL HIGHWAY ADMINISTRATION (2001).
Highway statistics 2001.
[Online; accessed 6-April-2012], URL http://www.fhwa.dot.gov/ohim/hs01/index.htm.

FINKELSTEIN, M. O. (1980).
The judicial reception of multiple regression studies in race and sex discrimination cases.
Columbia Law Review, 80 pp. 737-754.
URL http://www.jstor.org/stable/1122138.

FISHER, R. and MACKENZIE, W. (1923).
Studies in crop variation. II. the manurial response of different potato varieties.
The Journal of Agricultural Science, 13 311-320.
URL http://digital.library.adelaide.edu.au/dspace/bitstream/2440/15179/1/32.pdf.

FITZMAURICE, G., LAIRD, N. and WARE, J. (2011).
Applied Longitudinal Aanalysis.
2nd ed. Wiley, Hoboken NJ.

FORBES, J. D. (1857).
Xiv.—further experiments and remarks on the measurement of heights by the boiling point of water.
Transactions of the Royal Society of Edinburgh, 21 235-243.
URL http://journals.cambridge.org/article_S0080456800032075.

FOX, J. (2003).
Effect displays in R for generalised linear models.
Journal of Statistical Software, 8 1-27.
URL http://www.jstatsoft.org/v08/i15.

FOX, J. and WEISBERG, S. (2011).
An R Companion to Applied Regression.
2nd ed. Sage, Thousand Oaks CA.
URL http://z.umn.edu/carbook.

FRALEY, C., RAFTERY, A. E., GNEITING, T., SLOUGHTER, J. and BERROCAL, V. J. (2011).
Probabilistic weather forecasting in r.
R Journal, 3 55-63.
[Online; accessed 7-March-2013], URL http://journal.r-project.org/archive/2011-1/RJournal_2011-1_Fraley et al.pdf.

FREEDMAN, D. and LANE, D. (1983).
A nonstochastic interpretation of reported significance levels.
Journal of Business & Economic Statistics, 1 292-298.
URL http://www.jstor.org/stable/1391660.

FREEDMAN, D. A. (1983).
A note on screening regression equations.
The American Statistician, 37 152-155.
URL http://www.jstor.org/stable/2685877.

FREEMAN, M. and TUKEY, J. (1950).
Transformations related to the angular and the square root.
The Annals of Mathematical Statistics, 21 607-611.

FURNIVAL, G. M. and WILSON, J., ROBERT W. (1974).
Regressions by leaps and bounds.
Technometrics, 16 499-511.
URL http://www.jstor.org/stable/1267601.

GALTON, F. (1877).
Typical laws of heredity.
Proceedings of the Royal Institution, 8 282-301.
[Online; accessed 18-February-2013], URL http://galton.org/essays/1870-1879/galton-1877-roy-soc-typical-laws-heredity.pdf.

GALTON, F. (1886).
Regression towards mediocrity in hereditary stature.
The Journal of the Anthropological Institute of Great Britain and Ireland, 15 246-263.
URL http://www.jstor.org/stable/2841583.

GAUSS, C. (1821).
Anzeige: Theoria combinationis observationum erroribus minimis obnoxiae: Pars prior (theory of the combination of observations which leads to the smallest errors).
Göttingische gelehrte Anzeigen, 33 321-327.
Reprinted by the Society for Industrial and Applied Mathematics, 1987, URL http://epubs.siam.org/doi/pdf/10.1137/1.9781611971248.fm.

GILSTEIN, C. Z. and LEAMER, E. E. (1983).
The set of weighted regression estimates.
Journal of the American Statistical Association, 78 942-948.
URL http://www.jstor.org/stable/2288208.

GNANADESIKAN, R. (1997).
Methods for Statistical Data Analysis of Multivariate Observations.
2nd ed. Wiley, Hoboken NJ.

GOLDSTEIN, H. (2010).
Multilevel Statistical Models.
4th ed. Wiley, Hoboken NJ.

GOLUB, G. and VAN LOAN, C. (1996).
Matrix Computations, vol. 3.
Johns Hopkins Univ Press.

GOULD, S. (1966).
Allometry and size in ontogeny and phylogeny.
Biological Reviews, 41 587-638.
URL http://dx.doi.org/10.1111/j.1469-185X.1966.tb01624.x.

GOULD, S. J. (1973).
The shape of things to come.
Systematic Zoology, 22 pp. 401-404.
URL http://www.jstor.org/stable/2412947.

GREEN, P. and SILVERMAN, B. (1994).
Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach, vol. 58.
Chapman & Hall/CRC, Boca Raton FL.

GREENE, W. (2003).
Econometric Analysis.
5th ed. Prentice Hall, Upper Saddle River NJ.

HADDON, M. and HADDON, M. (2010).
Modelling and Quantitative Methods in Fisheries.
Chapman & Hall/CRC, Boca Raton FL.

HAHN, A. (ed.) (1979).
Development and Evolution of Brain Size.
Academic Press, New York.

HALD, A. (1960).
Statistical Theory with Engineering Applications.
Wiley, Hoboken NJ.

HALL, P. and LI, K.-C. (1993).
On almost linearity of low dimensional projections from high dimensional data.
The Annals of Statistics, 21 pp. 867-889.
URL http://www.jstor.org/stable/2242265.

HÄRDLE, W. (1990).
Applied nonparametric regression, vol. 26.
Cambridge Univ Press, Cambridge.

HART, C. W. M. (1943).
The hawthorne experiments.
The Canadian Journal of Economics and Political Science / Revue canadienne d'Economique et de Science politique, 9 pp. 150-163.
URL http://www.jstor.org/stable/137416.

HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J. H. (2009).
The Elements of Statistical Learning.
2nd ed. Springer, New York.

HAWKINS, D. M. (1980).
Identification of Outliers.
Chapman & Hall/CRC, Boca Raton FL.

HAWKINS, D. M., BRADU, D. and KASS, G. V. (1984).
Location of several outliers in multiple-regression data using elemental sets.
Technometrics, 26 197-208.
URL http://www.jstor.org/stable/1267545.

HENDERSON, H. V. and SEARLE, S. R. (1981).
On deriving the inverse of a sum of matrices.
SIAM Review, 23 pp. 53-60.
URL http://www.jstor.org/stable/2029838.

HERNANDEZ, F. and JOHNSON, R. A. (1980).
The large-sample behavior of transformations to normality.
Journal of the American Statistical Association, 75 pp. 855-861.
URL http://www.jstor.org/stable/2287172.

HILBE, J. M. (2011).
Negative Binomial Regression.
Cambridge Univ Press.

HINKLEY, D. (1985).
Transformation diagnostics for linear models.
Biometrika, 72 487-496.
URL http://www.jstor.org/stable/2336721.

HOAGLIN, D. C. and WELSCH, R. E. (1978).
The hat matrix in regression and anova.
The American Statistician, 32 17-22.
URL http://www.jstor.org/stable/2683469.

HOCKING, R. (1985).
The Analysis of Linear Models.
Brooks Cole, Monterey CA.

HOCKING, R. (2003).
Methods and Applications of Linear Models: Regression and the Analysis of Variance.
Wiley, Hoboken NJ.

HOETING, J. A., MADIGAN, D., RAFTERY, A. E. and VOLINSKY, C. T. (1999).
Bayesian model averaging: A tutorial.
Statistical Science, 14 pp. 382-401.
URL http://www.jstor.org/stable/2676803.

HOSMER, D. W., LEMESHOW, S. and MAY, S. (2008).
Applied Survival Analysis.
2nd ed. Wiley, Hoboken NJ.

HOSMER, D. W., LEMESHOW, S. and STURDIVANT, R. (2013).
Applied Logistic Regression.
3rd ed. Wiley, Hoboken NJ.

HUBER, P. (1967).
The behavior of maximum likelihood estimates under nonstandard conditions.
In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1. 221-33.

HUBER, P. and RONCHETTI, E. M. (2009).
Robust Statistics.
2nd ed. Wiley, Hoboken NJ.

HURVICH, C. M. and TSAI, C.-L. (1990).
The impact of model selection on inference in linear regression.
The American Statistician, 44 pp. 214-217.
URL http://www.jstor.org/stable/2685338.

IOANNIDIS, J. P. A. (2005).
Why most published research findings are false.
PLoS Med, 2.
URL http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124.

JEVONS, W. S. (1868).
On the condition of the metallic currency of the united kingdom, with reference to the question of international coinage.
Journal of the Statistical Society of London, 31 426-464.
URL http://www.jstor.org/stable/2338797.

JOHNS, M. W. (1991).
A new method for measuring daytime sleepiness: the epworth sleepiness scale.
Sleep, 16 540-545.
URL http://www.ncbi.nlm.nih.gov/pubmed/1798888.

JOHNSON, K. (1996).
Unfortunate Emigrants: Narratives of the Donner Party.
Utah State University Press.

JOHNSON, M. P. and RAVEN, P. H. (1973).
Species number and endemism: The galápagos archipelago revisited.
Science, 179 893-895.
URL http://www.jstor.org/stable/1735348.

JOINER, B. L. (1981).
Lurking variables: Some examples.
The American Statistician, 35 pp. 227-233.
URL http://www.jstor.org/stable/2683295.

KENNEDY, W. and GENTLE, J. (1980).
Statistical Computing, vol. 33.
CRC.

LEBEAU, M. (2004).
Evaluation of the Intraspecific Effects of a 15-inch Minimum Size Limit on Walleye Populations in Northern Wisconsin.
Ph.D. thesis, University of Minnesota.

LEHRER, J. (2010).
The truth wears off.
The New Yorker, 13.
[Online; accessed 22-June-2012], URL http://www.newyorker.com/reporting/2010/12/13/101213fa_fact_lehrer?currentPage=all.

LENTH, R. V. (2006-9).
Java applets for power and sample size [computer software].
[Online; accessed 15-February-2013], URL http://www.stat.uiowa.edu/~rlenth/Power.

LENTH, R. V. (2013).
lsmeans: Least-squares means.
R package version 1.06-05, URL http://CRAN.R-project.org/package=lsmeans.

LI, K.-C. and DUAN, N. (1989).
Regression analysis under link violation.
The Annals of Statistics, 17 pp. 1009-1052.
URL http://www.jstor.org/stable/2241708.

LITTLE, R. J. A. and RUBIN, D. B. (2002).
Statistical Analysis with Missing Data.
2nd ed. Wiley, Hoboken NJ.

LOADER, C. (1999).
Local Regression and Likelihood.
Springer, New York.

LOADER, C. (2004).
Smoothing: Local regression techniques.
In Handbook of Computational Statistics: Concepts and Methods. Springer, New York, 539-563.

LOHR, S. (2009).
Sampling: Design and Analysis.
2nd ed. Duxbury Press, Pacific Grove CA.

LONG, J. S. and ERVIN, L. H. (2000).
Using heteroscedasticity consistent standard errors in the linear regression model.
The American Statistician, 54 217-224.
URL http://www.jstor.org/stable/2685594.

LUMLEY, T. (2010).
Complex Surveys: A Guide to Analysis Using R.
Wiley, Hoboken NJ.
[Supplement online; accessed 07-April-2013], URL http://faculty.washington.edu/tlumley/svybook.

MANTEL, N. (1970).
Why stepdown procedures in variable selection.
Technometrics, 12 621-625.
URL http://www.jstor.org/stable/1267207.

MCCULLAGH, P. (2002).
What is a statistical model?
The Annals of Statistics, 30 1225-1267.
URL http://www.jstor.org/stable/1558705.

MCCULLAGH, P. and NELDER, J. A. (1989).
Generalized Linear Models.
2nd ed. Chapman & Hall/CRC, Boca Raton FL.

MCCULLOCH, C., SEARLE, S. and NEUHAUS, J. (2008).
Generalized Linear Mixed Models.
2nd ed. Wiley, Hoboken NJ.

MILLER, R. (1981).
Simultaneous Statistical Inference.
Springer, New York.

MONTGOMERY, D. (2012).
Design and Analysis of Experiments.
8th ed. Wiley, Hoboken NJ.

MOORE, J. A. (1975).
Total Biomedical Oxygen Demand of Animal Wastes.
Ph.D. thesis, University of Minnesota.

MOSTELLER, F. and TUKEY, J. W. (1977).
Data Analysis and Regression: A Second Course in Statistics.
Addison-Wesley, Reading MA.

MOSTELLER, F. and WALLACE, D. (1964).
Inference and Disputed Authorship: The Federalist.
Addison-Wesley, Reading MA.

NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY (2012).
Engineering statistics.
[Online; accessed 20-February-2013], URL http://www.itl.nist.gov/div898/handbook/.

NCAR (2013).
CISL research data archive.
[Online; accessed 25-March-2013], URL http://rda.ucar.edu/datasets/ds090.0/.

NELDER, J. A. (1977).
A reformulation of linear models.
Journal of the Royal Statistical Society. Series A (General), 140 48-77.
URL http://www.jstor.org/stable/2344517.

NELDER, J. A. and WEDDERBURN, R. W. M. (1972).
Generalized linear models.
Journal of the Royal Statistical Society. Series A (General), 135 370-384.
URL http://www.jstor.org/stable/2344614.

NISHII, R. (1984).
Asymptotic properties of criteria for selection of variables in multiple regression.
The Annals of Statistics, 12 pp. 758-765.
URL http://www.jstor.org/stable/2241410.

NOLL, S., WAIBEL, P., COOK, R. and WITMER, J. (1984).
Biopotency of methionine sources for young turkeys.
Poultry Science, 63 2458-2470.
URL http://dx.doi.org/10.3382/ps.0632458.

OEHLERT, G. (2000).
A First Course in Design and Analysis of Experiments.
Freeman, New York.
This is out-of-print, but now available under a Creative Commons license. [Online; accessed 6-April-2013]", URL http://users.stat.umn.edu/~gary/Book.html.

ORESTES CERDEIRA, J., DUARTE SILVA, P., CADIMA, J. and MINHOTO, M. (2012).
subselect: Selecting variable subsets.
R package version 0.12-2, URL http://CRAN.R-project.org/package=subselect.

PARKS, J. (1982).
A Theory of Feeding and Growth of Animals, vol. 11.
Springer, Berlin.

PEARSON, K. (1930).
Life and Letters and Labours of Francis Galton.
Cambridge University Press, Cambridge.

PEARSON, K. and LEE, A. (1903).
On the laws of inheritance in man: I. Inheritance of physical characters.
Biometrika, 2 357-462.
URL http://www.jstor.org/stable/2331507.

PERKIÖMÄKI, M. (1997).
World-wide track & field statistics.
[Online; accessed 30-March-2013], URL http://www.saunalahti.fi/~sut/eng/.

PHIPPS, P., MAXWELL, J. W. and ROSE, C. (2009).
2009 annual survey of the mathematical sciences.
Notices of the American Mathematical Society, 57 250-259.
[Online; accessed 03-April-2013], URL http://www.ams.org/profession/data/annual-survey/docsgrtd.

PINHEIRO, J. C. and BATES, D. M. (2000).
Mixed-Effects Models in S and S-PLUS.
Springer, New York.

R CORE TEAM (2013).
R: A Language and Environment for Statistical Computing.
R Foundation for Statistical Computing, Vienna, Austria.
ISBN 3-900051-07-0, URL http://www.R-project.org/.

RATKOWSKY, D. A. (1990).
Handbook of Nonlinear Regression Models.
Marcel Dekker, New York.

RAUDENBUSH, S. and BRYK, A. (2002).
Hierarchical Linear Models: Applications and Data Analysis Methods.
Sage, Thousand Oaks CA.

RENCHER, A. C. and PUN, F. C. (1980).
Inflation of r2 in best subset regression.
Technometrics, 22 49-53.
URL http://www.jstor.org/stable/1268382.

RICH, R. L., FRELICH, L. E. and REICH, P. B. (2007).
Wind-throw mortality in the southern boreal forest: Effects of species, diameter and stand age.
Journal of Ecology, 95 pp. 1261-1273.
URL http://www.jstor.org/stable/4496078.

ROBINSON, W. (2009).
Ecological correlations and the behavior of individuals.
International Journal of Epidemiology, 38 337-341.
http://ije.oxfordjournals.org/content/38/2/337.full.pdf+html, URL http://ije.oxfordjournals.org/content/38/2/337.short.

ROGUE WAVE SOFTWARE (2013).
Imsl numerical libraries.
[Online; accessed 4-March-2013], URL http://www.roguewave.com/products/imsl-numerical-libraries.aspx.

ROYSTON, J. P. (1982a).
Algorithm as 177: Expected normal order statistics (exact and approximate).
Journal of the Royal Statistical Society. Series C (Applied Statistics), 31 pp. 161-165.
URL http://www.jstor.org/stable/2347982.

ROYSTON, J. P. (1982b).
Algorithm AS 181: The W test for normality.
Journal of the Royal Statistical Society. Series C (Applied Statistics), 31 pp. 176-180.
URL http://www.jstor.org/stable/2347986.

ROYSTON, J. P. (1982c).
An extension of Shapiro and Wilk's W test for normality to large samples.
Journal of the Royal Statistical Society. Series C (Applied Statistics), 31 pp. 115-124.
URL http://www.jstor.org/stable/2347973.

RUBIN, D. B. (1976).
Inference and missing data.
Biometrika, 63 pp. 581-592.
URL http://www.jstor.org/stable/2335739.

SAKAMOTO, Y., ISHIGURO, M. and KITAGAWA, G. (1986).
Akaike Information Criterion Statistics.
D. Reidel Publishing Co.

SAS INSTITUTE, INC. (2013).
Lsmeans statement.
[Online; accessed 30-March-2013], URL http://z.umn.edu/saslsmeans.

SAW, J. (1966).
A conservative test for the concurrence of several regression lines and related problems.
Biometrika, 53 272-275.

SCHAFER, J. L. (1997).
Analysis of Incomplete Multivariate Data.
Chapman & Hall/CRC, Boca Raton FL.

SCHAFER, J. L. and GRAHAM, J. W. (2002).
Missing data: our view of the state of the art.
Psychological methods, 7 147.
URL http://dx.doi.org/10.1037/1082-989X.7.2.147.

SCHEFFÉ, H. (1959).
The Analysis of Variance.
Wiley.

SCHOTT, J. (2005).
Matrix Analysis for Statistics.
Wiley, Hoboken NJ.

SCHWARZ, G. (1978).
Estimating the dimension of a model.
The Annals of Statistics, 6 461-464.
URL http://www.jstor.org/stable/2958889.

SCLOVE, S. L. (1968).
Improved estimators for coefficients in linear regression.
Journal of the American Statistical Association, 63 pp. 596-606.
URL http://www.jstor.org/stable/2284030.

SEBER, G. (2008).
A Matrix Handbook for Statisticians, vol. 746.
Wiley, Hoboken NJ.

SEBER, G. A. F. and WILD, C. J. (1989).
Nonlinear Regression.
Wiley, Hoboken NJ.

SHAPIRO, S. S. and WILK, M. B. (1965).
An analysis of variance test for normality (complete samples).
Biometrika, 52 pp. 591-611.
URL http://www.jstor.org/stable/2333709.

SIMONOFF, J. (1996).
Smoothing Methods in Statistics.
Springer, New York.

SMITH, R. (undated).
A statistical assessment of buchanan's vote in palm beach county.
[Online; accessed 22-February-2013], URL http://www.stat.unc.edu/faculty/rs/palmbeach.html.

ST. ANDREWS UNIVERSITY (2003).
William Sealy Gosset.
[Online; accessed 20-February-2013], URL http://www-gap.dcs.st-and.ac.uk/history/Mathematicians/Gosset.html.

STAUDTE, R. and SHEATHER, S. (1990).
Robust Estimation and Testing.
Wiley Online Library.

STEFANSKI, L. A. (2007).
Residual (sur)realism.
The American Statistician, 61 163-177.
[Online; accessed 06-April-2013], URL https://www.amstat.org/about/pdfs/NCSUStatsProfSurpriseHomework.pdf.

STEVENS, S. S. (1966).
A metric for the social consensus.
Science, 151 pp. 530-541.
URL http://www.jstor.org/stable/1717034.

TAFF, S. J., TIFFANY, D. G. and WEISBERG, S. (1996).
Measured effects of feedlots on residential property values in minnesota: A report to the legislature.
Staff Papers 14121, University of Minnesota, Department of Applied Economics.
URL http://ideas.repec.org/p/ags/umaesp/14121.html.

TAFF, S. J. and WEISBERG, S. (2007).
Compensated short-term conservation restrictions may reduce sale prices.
Appraisal Journal, 75 45 - 55.

THISTED, R. (1988).
Elements of Statistical Computing: Numerical Computation, vol. 1.
Chapman & Hall/CRC, Boca Raton FL.

TIBSHIRANI, R. (1996).
Regression shrinkage and selection via the lasso.
Journal of the Royal Statistical Society. Series B (Methodological), 58 pp. 267-288.
URL http://www.jstor.org/stable/2346178.

TSAY, R. (2005).
Analysis of Financial Time Series.
Wiley, Hoboken NJ.

TUDDENHAM, R. and SNYDER, M. (1954).
Physical growth of California boys and girls from birth to eighteen years.
Publications in Child Development. University of California, Berkeley, 1 183.

TUKEY, J. W. (1949).
One degree of freedom for non-additivity.
Biometrics, 5 232-242.
URL http://www.jstor.org/stable/3001938.

U. S. CENSUS (undated).
Imputation of unreported data items.
[Online; accessed 23-March-2013], URL http://www.census.gov/cps/methodology/unreported.html.

UBS (2009).
Prices and earnings: A comparison of purchasing power around the globe.
[Online; accessed 20-April-2012], URL http://www.ubs.com/global/en/wealth_management/wealth_management_research/prices_earnings.html.

UNITED NATIONS (2011).
Social indicators.
[Online; accessed 26-April-2012], URL http://unstats.un.org/unsd/demographic/products/socind/.

UNIVERSITY OF WASHINGTON APPLIED PHYSICS LABORATORY (2013).
University of washington probability forecast.
[Online; accessed 7-March-2013], URL http://probcast.washington.edu/.

VARSHNEY, L. R. and SUN, J. Z. (2013).
Why do we perceive logarithmically?
Significance, 10 28-31.
[Online; accessed 3-March-2013], URL http://onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2013.00636.x/pdf.

VELILLA, S. (1993).
A note on the multivariate Box-Cox transformation to normality.
Statistics and Probability Letters, 17 259-263.
URL http://dx.doi.org/10.1016/0167-7152(93)90200-3.

WEISBERG, H., BEIER, E., BRODY, H., PATTON, R., RAYCHAUDHURI, K., TAKEDA, H., THERN, R. and VAN BERG, R. (1978).
s-dependence of proton fragmentation by hadrons. ii. incident laboratory momenta 30-250 gev/c.
Physical Review D, 17 2875.
URL http://dx.doi.org/10.1103/PhysRevD.17.2864.

WHITE, H. (1980).
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity.
Econometrica, 48 817-838.
URL http://www.jstor.org/stable/1912934.

WILKINSON, G. N. and ROGERS, C. E. (1973).
Symbolic description of factorial models for analysis of variance.
Journal of the Royal Statistical Society. Series C (Applied Statistics), 22 392-399.
URL http://www.jstor.org/stable/2346786.

WILM, H. (1950).
Statistical control in hydrologic forecasting.
Tech. Rep. 71, Pacific Northwest Forest Range Experiment Station, Oregon.

WOOD, S. (2006).
Generalized Additive Models: An Introduction with R, vol. 66.
Chapman & Hall/CRC, Boca Raton FL.

WOODLEY, W. L., SIMPSON, J., BIONDINI, R. and BERKELEY, J. (1977).
Rainfall results, 1970-1975: Florida area cumulus experiment.
Science, 195 pp. 735-742.
URL http://www.jstor.org/stable/1743962.

YANG, Y. (2001).
Adaptive regression by mixing.
Journal of the American Statistical Association, 96 574-588.
URL http://amstat.tandfonline.com/doi/abs/10.1198/016214501753168262.

YANG, Y. (2005).
Can the strengths of aic and bic be shared? a conflict between model indentification and regression estimation.
Biometrika, 92 pp. 937-950.
URL http://www.jstor.org/stable/20441246.

YEO, I.-K. and JOHNSON, R. A. (2000).
A new family of power transformations to improve normality or symmetry.
Biometrika, 87 954-959.
URL http://www.jstor.org/stable/2673623.

ZEILEIS, A. (2004).
Econometric computing with hc and hac covariance matrix estimators.
Journal of Statistical Software, 11 1-17.
URL http://www.jstatsoft.org/v11/i10.

ZIPF, G. (1949).
Human Behavior and the Principle of Least Effort.
Addison-Wesley, Reading MA.

ZOU, H. and HASTIE, T. (2005).
Regularization and variable selection via the elastic net.
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 67 pp. 301-320.
URL http://www.jstor.org/stable/3647580.

ZUUR, A., IENO, E., WALKER, N., SAVELIEV, A. and SMITH, G. (2009).
Mixed Effects Models and Extensions in Ecology with R.
Springer, New York.

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2013-05-28