Volume 53.
(as bibtex)
75 references.
Articles

16. Nonmathematical statistics: A new direction for the undergraduate discipline (Pkg: p128; Disc: p1528)
Higgins, James J.

103107. Removable selection bias in quasiexperiments
Salzberg, Alan J.

108109. A characterization of principal components for projection pursuit
Bolton, Richard J.,
Krzanowski, Wojtek J.

110118. Nonrandom missingness in categorical data: Strengths and limitations
Molenberghs, Geert,
Goetghebeur, Els J. T.,
Lipsitz, Stuart R.,
Kenward, Michael G.

119122. Bayes factors: What they are and what they are not
Lavine, Michael,
Schervish, Mark J.

123125. A note on maximum likelihood estimation
Hengartner, Nicolas W.

126131. Onefactoratatime versus designed experiments
Czitrom, Veronica

132136. Community service statistics projects
Anderson, Jon E.,
Sungur, Engin A.

137139. Three tools for interactively visualizing some distribution theory concepts
Dunn, Peter K.

140146. Analysis and display of hierarchical lifetime data
Shmueli, Galit,
Cohen, Ayala

147148. Section editor's notes
Hilbe, Joseph

149159. Assessing the reliability of statistical software: Part II
McCullough, B. D.

1516. Comment on two related papers on undergraduate statistics (Pkg: p128)
Newton, H. Joseph

1621. Comment on two related papers on undergraduate statistics (Pkg: p128)
Cobb, George W.

160169. Review of software to fit generalized estimating equation regression models
Horton, Nicholas J.,
Lipsitz, Stuart R.

173173. Comment on ``Correlation, regression lines, and moments of inertia'' (1998V52 p343345) [Letter]
Meng, XiaoLi

173174. Comment on related papers on ``Statistics on statisticians'' (1998V52 p289314) [Letter]
Losinger, Willard C.

174174. Comment on ``Developing casebased business statistics courses'' (1998V52 p330337) [Letter]
Parr, W. C.,
Smith, M. A.

177190. Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system (Disc: p190202)
DuMouchel, William

190196. Comment on ``Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system''
O'Neill, Robert T.,
Szarfman, Ana

196198. Comment on ``Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system''
Louis, Thomas A.,
Shen, Wei

198200. Comment on ``Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system''
Madigan, David

201202. Reply to comments on ``Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system''
DuMouchel, William

203207. Shaping statistics for success in the 21st century: The needs of industry
McDonald, Gary C.

208215. The impact of six sigma improvement  A glimpse into the future of statistics
Hahn, Gerald J.,
Hill, William J.,
Hoerl, Roger W.,
Zinkgraf, Stephen A.

2123. Comment on two related papers on undergraduate statistics (Pkg: p128)
Bryce, G. Rex

216224. Explaining the saddlepoint approximation
Goutis, Constantino,
Casella, George

225232. Practical saddlepoint approximations
Huzurbazar, S.

2325. Comment on two related papers on undergraduate statistics (Pkg: p128)
Groeneveld, Richard A.

233238. Calculating accuracy rates from multiple assessors with limited information
Tweedie, Richard,
Mengersen, Kerrie

239246. Quantile plots, partial orders, and financial risk
Kuczmarski, James G.,
Rosenbaum, Paul R.

247253. A note on confidence interval estimation in measurement error adjustment
Lyles, Robert H.,
Kupper, Lawrence L.

254256. Effect of prior specification on Bayesian design for twosample comparison of a binary outcome
Matthews, J. N. S.

257262. The NBA as an evolving multivariate system
Chatterjee, Sangit,
Yilmaz, Mustafa R.

2627. Reply to comments on ``Nonmathematical statistics: A new direction for the undergraduate discipline'' (Pkg: p128)
Higgins, James J.

263266. The foundations of statistics at Stanford
Stigler, Stephen M.

267269. The complications of the fourth central moment
Dodge, Yadolah,
Rousson, Valentin

2728. Reply to comments on ``Let's use CQI in our statistics programs'' (Pkg: p128)
Hogg, Robert V.

270272. Transforming variables using the Dirac generalized function
Au, Chi,
Tam, Judy

273275. An improved result relating quadratic forms and chisquare distributions
Driscoll, Michael F.

276282. Dot plots
Wilkinson, Leland

282290. Comparisons of software packages for generalized linear multilevel models
Zhou, XiaoHua,
Perkins, Anthony J.,
Hui, Siu L.

2937. Graphs in statistical analysis: Is the medium the message?
Cook, R. Dennis,
Weisberg, Sanford

295296. Reply to comment on ``Graphs in statistical analysis: Is the medium the message?'' [Letter]
Cook, Dennis,
Weisberg, Sanford

295295. Comment on ``Nonmathematical statistics: A new direction for the undergraduate discipline'' (1999V53 p16) [Letter]
Muranaka, Ken

295295. Comment on ``Graphs in statistical analysis: Is the medium the message?'' (1999V53 p2937) [Letter]
Draper, Norman R.

298302. Are babies normal?
Clemons, Traci,
Pagano, Marcello

303306. A note on information seldom reported via the $P$ value
Donahue, Rafe M. J.

307320. Advanced placement statistics  Past, present, and future
Roberts, Rosemary,
Scheaffer, Richard,
Watkins, Ann

321325. The Nigerian census: Problems and prospects
Okolo, Abraham

326331. $P$ values as random variables  Expected $P$ values
Sackrowitz, Harold,
SamuelCahn, Ester

332335. Usual and shortest confidence intervals on odds ratios from logistic regression
Wilson, P. David,
Langenberg, Patricia

336341. Some results on the maximal correlation in $2 × k$ contingency tables
Gautam, Shiva,
Kimeldorf, George

342348. Understanding timeseries regression estimators
Choudhury, Askar H.,
Hubata, Robert,
St. Louis, Robert D.

349351. On a relation between principal components and regression analysis
Jong, JyhCherng,
Kotz, Samuel

352356. Resolving the mixed models controversy
Voss, Daniel T.

357361. Mean and variance of truncated normal distributions
Barr, Donald R.,
Sherrill, E. Todd

362369. Upper bounds on the true coverage of bootstrap percentile type confidence intervals
Polansky, Alan M.

370375. Teaching statistics theory through applications
Nolan, D.,
Speed, T. P.

376381. Simplifying general least squares
Hayes, Kevin,
Haslett, John

3842. When good confidence intervals go bad: Predictor sort experiments and ANOVA
Verrill, Steve

382387. The bagplot: A bivariate boxplot
Rousseeuw, Peter J.,
Ruts, Ida,
Tukey, John W.

393393. Comment on ``On the information economics approach to the generalized game show problem'' (1999V53 p4351) [Letter]
McDonald, Gary C.

393393. Comment on ``Distributional relationships arising from simple trigonometric formulas'' (1999V53 p99102) [Letter]
Jones, M. C.

4351. On the information economics approach to the generalized game show problem
Chun, Young H.

5255. Searching for the right sample size
Amaratunga, Dhammika

5661. Multitiered playoffs and their impact on professional baseball
Boronico, Jess S.

6266. Is the onehalf continuity correction used once or twice to derive a wellknown approximate sample size formula to compare two independent binomial distributions?
Levin, Bruce,
Chen, Xun

6770. The ruin problem via electric networks
Palacios, Jose Luis,
Palacios, José Luis

714. Let's use CQI in our statistics programs (Pkg: p128; Disc: p1528)
Hogg, Robert V.

7172. Necessary and sufficient condition for nonsingular Fisher information matrix in ARMA and fractional ARIMA models
McLeod, A. Ian

7384. Computing with data: Concepts and challenges
Chambers, John

8993. When lognormal and gamma models give different results: A case study
Wiens, Brian L.

9498. Can the NCAA basketball tournament seeding be used to predict margin of victory?
Smith, Tyler,
Schwertman, Neil C.

99102. Distributional relationships arising from simple trigonometric formulas
Jones, M. C.