# American Statistical Association

# Journal of the American Statistical Association

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### 2006, Volume 101

**396-396 Probability and Probabilistic Reasoning for Electrical Engineering. Terrence L. Fine***by*Carlton, Matthew**393-393 Statistical Methods in Bioinformatics: An Introduction (2nd ed.). Warren J. Ewens and Gregory Grant***by*Zheng, W. Jim**391-392 Constrained Statistical Inference: Inequality, Order, and Shape Restrictions. Mervyn J. Silvapulle and Pranab K. Sen***by*Micheas, Athanasios**1734-1734 Statistical Monitoring of Clinical Trials: Fundamentals for Investigators. Lemuel A. Moye***by*Sinha, Debajyoti**1732-1733 Bayesian Statistics and Marketing. Peter Rossi, Greg Allenby, and Rob McCulloch***by*Annis, David H.**1731-1731 Binomial Models in Finance. John van der Hoek and Robert J. Elliott***by*Chiu, Wai F.**1730-1730 Kernel Methods for Pattern Analysis. John Shawe-Taylor and Nello Cristianini***by*Last, M.**1728-1728 Functional Analysis for Probability and Stochastic Processes: An Introduction. Adam Bobrowski***by*Bingham, N.H.**1727-1728 Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals. Thomas W. O'Gorman***by*Lenth, Russell V.**1724-1726 Mixed Models: Theory and Applications. Eugene Demidenko***by*Vonesh, Edward F.**1721-1721 Kendall's Advanced Theory of Statistics, Vol. 1: Distribution Theory (6th ed.). Alan Stuart and J. Keith Ord; Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference and the Linear Model (6th ed.). Alan Stuart and J. Keith Ord, and Steven F. Arnold***by*Annis, David H.**1719-1719 Introduction to Statistical Thought. Michael Lavine***by*MacEachern, Steven N.**1317-1317 Random Graphs for Statistical Pattern Recognition. David J. Marchette***by*Karr, Alan F.**1316-1317 Flowgraph Models for Multistate Time-to-Event Data. Aparna V. Huzurbazar***by*Klein, John P.**1313-1313 Bayesian Nonparametrics via Neural Networks. Herbert K. H. Lee***by*Ghosh, Malay**1312-1313 Statistical Methods in Molecular Evolution. Rasmus Nielsen (ed.)***by*Kimmel, Marek**1310-1310 Analysis of Variance for Random Models: Theory, Methods, Applications, and Data Analysis, Vol. 2: Unbalanced Data. Hardeo Sahai and Mario Miguel Ojeda***by*Booth, James G.**1308-1308 Fixed Effects Regression Methods for Longitudinal Data Using SAS. Paul D. Allison***by*Neuhaus, John M.

### 2005, Volume 100

**1-5 Bayesians, Frequentists, and Scientists***by*Bradley Efron**6-16 Weather Forecasting for Weather Derivatives***by*Sean D. Campbell & Francis X. Diebold**17-25 Are Maintenance Practices for Railroad Tracks Effective?***by*Jason R.W. Merrick & Refik Soyer & Thomas A. Mazzuchi**26-35 A Space-Time Conditional Intensity Model for Evaluating a Wildfire Hazard Index***by*Roger D. Peng & Frederic Paik Schoenberg & James A. Woods**36-50 Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective***by*Lawrence Brown & Noah Gans & Avishai Mandelbaum & Anat Sakov & Haipeng Shen & Sergey Zeltyn & Linda Zhao**51-60 Classification of Missense Mutations of Disease Genes***by*Xi Zhou & Edwin S. Iversen & Giovanni Parmigiani**61-70 Modeling Reporting Delays and Reporting Corrections in Cancer Registry Data***by*Douglas N. Midthune & Michael P. Fay & Limin X. Clegg & Eric J. Feuer**71-81 False Discovery Rate-Adjusted Multiple Confidence Intervals for Selected Parameters***by*Yoav Benjamini & Daniel Yekutieli**81-82 Comment***by*Don Edwards**82-84 Comment***by*Juliet Popper Shaffer**84-85 Comment***by*Ajit C. Tamhane**85-89 Comment***by*Peter H. Westfall**89-90 Comment***by*Burt Holland**90-93 Rejoinder***by*Yoav Benjamini & Daniel Yekutieli**94-108 Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing***by*Joseph P. Romano & Michael Wolf**109-120 Sequential Monte Carlo Methods for Statistical Analysis of Tables***by*Yuguo Chen & Persi Diaconis & Susan P. Holmes & Jun S. Liu**121-134 Homogeneous Linear Predictor Models for Contingency Tables***by*Joseph B. Lang**135-146 Multifold Predictive Validation in ARMAX Time Series Models***by*Daniel Pena & Ismael Sanchez**147-157 Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data***by*Naisyin Wang & Raymond J. Carroll & Xihong Lin**158-171 A General Statistical Framework for Unifying Interval and Linkage Disequilibrium Mapping: Toward High-Resolution Mapping of Quantitative Traits***by*Xiang-Yang Lou & George Casella & Rory J. Todhunter & Mark C.K. Yang & Rongling Wu**172-183 On the Cox Model With Time-Varying Regression Coefficients***by*Lu Tian & David Zucker & L.J. Wei**184-196 Functional Association Models for Multivariate Survival Processes***by*Jun Yan & Jason P. Fine**197-203 A Calculus for Design of Two-Stage Adaptive Procedures***by*Tatsuki Koyama & Allan R. Sampson & Leon J. Gleser**204-211 Constrained Inverse Regression for Incorporating Prior Information***by*Prasad A. Naik & Chih-Ling Tsai**212-221 Nonparametric Identification and Estimation of a Censored Location-Scale Regression Model***by*Songnian Chen & Gordon B. Dahl & Shakeeb Khan**222-230 Regression Analysis With Linked Data***by*P. Lahiri & Michael D. Larsen**231-241 A Statistical Model for Signature Verification***by*Ian W. McKeague**242-251 A Bayesian Semiparametric Model for Random-Effects Meta-Analysis***by*Deborah Burr & Hani Doss**252-261 Inferences Under a Stochastic Ordering Constraint: The k-Sample Case***by*Hammou El Barmi & Hari Mukerjee**262-272 Estimating Load-Sharing Properties in a Dynamic Reliability System***by*Paul H. Kvam & Edsel A. Pena**273-285 Approximate and Asymptotic Distributions of Chi-Squared-Type Mixtures With Applications***by*Jin-Ting Zhang**286-295 Bilinear Mixed-Effects Models for Dyadic Data***by*Peter D. Hoff**296-309 Variance Estimation in a Model With Gaussian Submodels***by*Vanja M. Dukic & Edsel A. Pena**310-321 Space-Time Covariance Functions***by*Michael L. Stein**322-331 Causal Inference Using Potential Outcomes: Design, Modeling, Decisions***by*Donald B. Rubin**332-346 Missing-Data Methods for Generalized Linear Models: A Comparative Review***by*Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz & Amy H. Herring**348-349 Nonlinear Time Series: Nonparametric and Parametric Methods. Jianqing Fan and Qiwei Yao***by*Jay Breidt**349-350 Statistical Inference and Simulation for Spatial Point Processes. Jesper Moller and Rasmus P. Waagepetersen***by*Frederic P. Schoenberg**350-351 Stochastic Models in Queueing Theory (2nd ed.). J. Medhi***by*Sarah M. Ryan**351-352 Highly Structured Stochastic Systems. Peter J. Green, Nils Lid Hjort, and Sylvia Richardson***by*Antonietta Mira**352-353 Discrete Choice Methods With Simulations. Kenneth E. Train***by*Karla V. Ballman**353-354 Spatial Data Analysis: Theory and Practice. Robert Haining***by*Lynne Seymour**354-355 Multilevel Statistical Models (3rd ed.). Harvey Goldstein***by*Risto Lehtonen**355-356 Subjective and Objective Bayesian Statistics: Principles, Models, and Applications (2nd ed.). S. James Press***by*Thomas H. Short**356-356 Sample Survey Theory: Some Pythagorean Perspectives. Paul Knottnerus***by*Imbi Traat**359-369 Hidden Markov Models for Longitudinal Comparisons***by*Scott, Steven L. & James, Gareth M. & Sugar, Catherine A.**370-379 Contact Surface Models for Infectious Diseases: Estimation From Serologic Survey Data***by*Farrington, C. Paddy & Whitaker, Heather J.**380-388 A Bayesian Approach to 2000 Census Evaluation Using ACE Survey Data and Demographic Analysis***by*Elliott, Michael R. & Little, Roderick J.A.**389-398 Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species***by*Dorazio, Robert M. & Royle, J. Andrew**399-409 Population-Calibrated Gene Characterization: Estimating Age at Onset Distributions Associated With Cancer Genes***by*Iversen, Edwin S. & Chen, Sining**410-428 Sufficient Dimension Reduction via Inverse Regression: A Minimum Discrepancy Approach***by*Cook, R. Dennis & Ni, Liqiang**429-445 Component Identification and Estimation in Nonlinear High-Dimensional Regression Models by Structural Adaptation***by*Samarov, Alexander & Spokoiny, Vladimir & Vial, Celine**446-458 An Overview of Asymptotic Properties of Lp Regression Under General Classes of Error Distributions***by*Lai, P.Y. & Lee, Stephen M.S.**459-469 An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling***by*Weaver, Mark A. & Zhou, Haibo**470-483 Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects***by*Zeng, Donglin & Lin, D.Y. & Yin, Guosheng**484-492 Testing Quasi-Independence of Failure and Truncation Times via Conditional Kendall's Tau***by*Martin, Emily C. & Betensky, Rebecca A.**493-502 Phase 2 and 3 Combination Designs to Accelerate Drug Development***by*Liu, Qing & Pledger, Gordon W.**503-510 A Note on Nonparametric Estimation of the Effective Dose in Quantal Bioassay***by*Dette, Holger & Neumeyer, Natalie & Pilz, Kay F.**511-518 Exact, Nonparametric Inference When Doses Are Measured With Random Errors***by*Rosenbaum, Paul R.**519-531 SLEX Analysis of Multivariate Nonstationary Time Series***by*Ombao, Hernando & von Sachs, Rainer & Guo, Wensheng**532-544 Diagnostic Checking in ARMA Models With Uncorrelated Errors***by*Francq, Christian & Roy, Roch & Zakoian, Jean-Michel**545-553 Bootstrapping Unit Root Tests for Autoregressive Time Series***by*Paparoditis, Efstathios & Politis, Dimitris N.**554-564 Constructing Stationary Time Series Models Using Auxiliary Variables With Applications***by*Pitt, Michael K. & Walker, Stephen G.**565-576 Functional Adaptive Model Estimation***by*James, Gareth M. & Silverman, Bernard W.**577-590 Functional Data Analysis for Sparse Longitudinal Data***by*Yao, Fang & Muller, Hans-Georg & Wang, Jane-Ling**591-601 Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure***by*Sinha, Samiran & Mukherjee, Bhramar & Ghosh, Malay & Mallick, Bani K. & Carroll, Raymond J.**602-617 Bayesian Variable Selection in Clustering High-Dimensional Data***by*Tadesse, Mahlet G. & Sha, Naijun & Vannucci, Marina**618-627 Bayesian Semiparametric Isotonic Regression for Count Data***by*Dunson, David B.**628-641 Optimal Conditionally Unbiased Bounded-Influence Inference in Dynamic Location and Scale Models***by*Mancini, Loriano & Ronchetti, Elvezio & Trojani, Fabio**642-652 Outlier Labeling With Boxplot Procedures***by*Sim, C.H. & Gan, F.F. & Chang, T.C.**653-668 Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes***by*Kim, Hyoung-Moon & Mallick, Bani K. & Holmes, C.C.**669-679 Estimation of Poisson Intensity in the Presence of Dead Time***by*He, Shuyuan & Yang, Grace L. & Fang, Kai Tai & Widmann, John F.**680-701 Statistical Methods for Eliciting Probability Distributions***by*Garthwaite, Paul H. & Kadane, Joseph B. & O'Hagan, Anthony**702-703 Applied Spatial Statistics for Public Health Data. Lance A. Waller and Carol A. Gotway***by*Diggle, Peter**703-704 Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective. Terje Aven***by*Banks, David L.**704-704 Comparison Methods for Stochastic Models and Risks. Alfred Muller and Dietrich Stoyan***by*Kiessler, Peter C.**705-705 The Statistical Evaluation of Medical Tests for Classification and Prediction. Margaret Sullivan Pepe***by*Qiu, Peihua**707-708 Numerical Issues in Statistical Computing for the Social Scientist. Micah Altman, Jeff Gill, and Michael P. McDonald***by*Van Zandt, T.**708-709 Planning, Construction, and Statistical Analysis of Comparative Experiments. Francis G. Giesbrecht and Marcia L. Gumpertz***by*Anderson-Cook, Christine M.**709-710 Applied Longitudinal Analysis. Garrett M. Fitzmaurice, Nan M. Laird, and James H. Ware***by*Molenberghs, Geert**710-711 Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Anders Skrondal and Sophia Rabe-Hesketh***by*Corrado, Luisa**711-712 Design and Analysis of DNA Microarray Investigations. Richard M. Simon, Edward L. Korn, Lisa M. McShane, Michael D. Radmacher, George W. Wright, and Yingdong Zhao***by*Gentleman, Robert**712-713 Resampling Methods for Dependent Data. S. N. Lahiri***by*Carey, Vincent J.**713-713 Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications. Wayne B. Nelson***by*Lenth, Russell V.**719-727 Hierarchical Graphical Models: An Application to Pulmonary Function and Cholesterol Levels in the Normative Aging Study***by*Zhang, Dabao & Wells, Martin T. & Turnbull, Bruce W. & Sparrow, David & Cassano, Patricia A.**728-735 Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures***by*Feng, Shibao & Wolfe, Robert A. & Port, Friedrich K.**736-747 The Joint Measurement of Technical and Allocative Inefficiencies: An Application of Bayesian Inference in Nonlinear Random-Effects Models***by*Kumbhakar, Subal C. & Tsionas, Efthymios G.**748-763 A Hierarchical Framework for Modeling and Forecasting Web Server Workload***by*Li, Ta-Hsin**764-780 Spike and Slab Gene Selection for Multigroup Microarray Data***by*Ishwaran, Hemant & Rao, J. Sunil**781-796 Semilinear High-Dimensional Model for Normalization of Microarray Data: A Theoretical Analysis and Partial Consistency***by*Fan, Jianqing & Peng, Heng & Huang, Tao**796-798 Comment***by*Sabatti, Chiara**799-800 Comment***by*Craig, Bruce A.**800-804 Comment***by*Huang, Jian & Zhang, Cun-Hui**804-804 Comment***by*Zhang, Heping**805-807 Comment***by*Kosorok, Michael R. & Ma, Shuangge**807-808 Comment***by*Tibshirani, Robert**808-813 Rejoinder***by*Fan, Jianqing & Peng, Heng & Huang, Tao & Ren, Yi**814-829 A Two-Way Semilinear Model for Normalization and Analysis of cDNA Microarray Data***by*Huang, Jian & Wang, Deli & Zhang, Cun-Hui**830-840 The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting***by*Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia**841-852 Measurement Error in Linear Autoregressive Models***by*Staudenmayer, John & Buonaccorsi, John P.**853-871 Estimation of Long Memory in the Presence of a Smooth Nonparametric Trend***by*Hurvich, Clifford & Lang, Gabriel & Soulier, Philippe**872-881 Dynamical Correlation for Multivariate Longitudinal Data***by*Dubin, Joel A. & Muller, Hans-Georg**882-889 Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times***by*Sun, Jianguo & Park, Do-Hwan & Sun, Liuquan & Zhao, Xingqiu**890-907 Nonparametric Inferences for Additive Models***by*Fan, Jianqing & Jiang, Jiancheng**908-915 Rank-Sum Tests for Clustered Data***by*Datta, Somnath & Satten, Glen A.**916-925 Multivariate Nonparametric Tests of Independence***by*Taskinen, Sara & Oja, Hannu & Randles, Ronald H.**926-941 A Unified Nonparametric Approach for Unbalanced Factorial Designs***by*Gao, Xin & Alvo, Mayer**942-959 A Penalized Nonparametric Maximum Likelihood Approach to Species Richness Estimation***by*Wang, Ji-Ping Z. & Lindsay, Bruce G.**960-969 The Profile Sampler***by*Lee, Bee Leng & Kosorok, Michael R. & Fine, Jason P.**970-979 Bootstrap Standard Error Estimates for Linear Regression***by*Goncalves, Silvia & White, Halbert**980-989 Locally Efficient Semiparametric Estimators for Generalized Skew-Elliptical Distributions***by*Ma, Yanyuan & Genton, Marc G. & Tsiatis, Anastasios A.**990-999 CATS: Clustering After Transformation and Smoothing***by*Serban, Nicoleta & Wasserman, Larry**1000-1008 Inference for a Class of Transformed Hazards Models***by*Zeng, Donglin & Yin, Guosheng & Ibrahim, Joseph G.**1009-1020 Limited- and Full-Information Estimation and Goodness-of-Fit Testing in 2n Contingency Tables: A Unified Framework***by*Maydeu-Olivares, Albert & Joe, Harry**1021-1035 Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing***by*Gelfand, Alan E. & Kottas, Athanasios & MacEachern, Steven N.**1036-1045 Generalized Radius Processes for Elliptically Contoured Distributions***by*Garcia-Escudero, Luis Angel & Gordaliza, Alfonso**1046-1053 Estimation in the Mixture of Markov Chains Moving With Different Speeds***by*Frydman, Halina**1054-1076 Residual Diagnostics for Growth Mixture Models: Examining the Impact of a Preventive Intervention on Multiple Trajectories of Aggressive Behavior***by*Wang, Chen-Pin & Hendricks Brown, C. & Bandeen-Roche, Karen**1077-1089 Transdimensional Markov Chains: A Decade of Progress and Future Perspectives***by*Sisson, Scott A.**1091-1092 Diagnostic Checks in Time Series: Wai Keung Li***by*Gallagher, Colin M.**1092-1093 Association Schemes: Designed Experiments, Algebra and Combinatorics: Rosemary Bailey***by*Morgan, J.P.**1093-1094 Ranked Set Sampling: Theory and Applications: Zehua Chen, Zhidong Bai, and Bimal K. Sinha***by*Ozturk, Omer**1094-1095 Statistical Methods of Analysis: Chin Long Chiang***by*Rust, Philip F.**1095-1096 Causality: Models, Reasoning, and Inference: Judea Pearl***by*Hadlock, Charles R.**1096-1097 Bayesian Artificial Intelligence: Keven B. Korb and Ann E. Nicholson***by*Ramoni, Marco F.**1097-1097 Convex Optimization: Stephen Boyd and Lieven Vandenberghe***by*Luethi, Hans-Jakob**1098-1099 Finite-Sample Econometrics: Advanced Texts in Econometrics: Aman Ullah***by*Ronchetti, Elvezio**1099-1099 Practical Genetic Algorithms (2nd ed.): Randy L. Haupt and Sue Ellen Haupt***by*Anderson-Cook, Christine M.**1103-1112 Estimating Risks of Identification Disclosure in Microdata***by*Reiter, Jerome P.**1113-1122 Forecasts From Nonrandom Samples: The Election Night Case***by*Pavia-Miralles, Jose Manuel**1123-1132 Imputation of Binary Treatment Variables With Measurement Error in Administrative Data***by*Yucel, Recai M. & Zaslavsky, Alan M.**1133-1144 A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities***by*Xu, Ke & Wikle, Christopher K. & Fox, Neil I.**1145-1158 Maximization by Parts in Likelihood Inference***by*Song, Peter X.K. & Fan, Yanqin & Kalbfleisch, John D.**1158-1159 Comment***by*Jiang, Jiming**1159-1160 Comment***by*Louis, Thomas A.**1160-1161 Comment***by*Liao, J.G. & Qaqish, Bahjat F.**1161-1163 Comment***by*Ruppert, David**1164-1167 Rejoinder***by*Song, Peter X.K. & Fan, Yanqin & Kalbfleisch, John D.**1168-1175 Artificially Augmented Samples, Shrinkage, and Mean Squared Error Reduction***by*Yatracos, Yannis G.**1176-1184 Robust Estimation in Generalized Partial Linear Models for Clustered Data***by*He, Xuming & Fung, Wing K. & Zhu, Zhongyi**1185-1201 Univariate Nonparametric Regression in the Presence of Auxiliary Covariates***by*Efromovich, Sam**1202-1214 Combining Linear Regression Models: When and How?***by*Yuan, Zheng & Yang, Yuhong**1215-1225 Efficient Empirical Bayes Variable Selection and Estimation in Linear Models***by*Yuan, Ming & Lin, Yi**1226-1237 Quantiles for Counts***by*Machado, Jose A.F. & Silva, J. M. C. Santos**1238-1249 Nonparametric Estimation of an Additive Quantile Regression Model***by*Horowitz, Joel L. & Lee, Sokbae**1250-1263 Weighted Estimators for Proportional Hazards Regression With Missing Covariates***by*Qi, Lihong & Wang, C.Y. & Prentice, Ross L.**1264-1277 A PseudoPartial Likelihood Method for Semiparametric Survival Regression With Covariate Errors***by*Zucker, David M.**1278-1291 Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors***by*Lijoi, Antonio & Mena, Ramses H. & Prunster, Igor**1292-1296 On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation***by*Lijoi, Antonio & Prunster, Igor & Walker, Stephen G.**1297-1310 Outlier Robust Model Selection in Linear Regression***by*Muller, Samuel & Welsh, A.H.**1311-1327 A Generalized WangLandau Algorithm for Monte Carlo Computation***by*Liang, Faming**1328-1342 Linear Unmixing of Multivariate Observations: A Structural Model***by*Wolbers, Marcel & Stahel, Werner**1343-1357 A Fast, Optimal Spatial-Prediction Method for Massive Datasets***by*Tzeng, ShengLi & Huang, Hsin-Cheng & Cressie, Noel**1358-1369 Multiscale, Multigranular Statistical Image Segmentation***by*Kolaczyk, Eric D. & Ju, Junchang & Gopal, Sucharita**1370-1381 Optimal Design for Goodness-of-Fit of the MichaelisMenten Enzyme Kinetic Function***by*Dette, Holger & Melas, Viatcheslav B. & Wong, Weng Kee**1382-1393 Diverging Moments and Parameter Estimation***by*Goncalves, Paulo & Riedi, Rudolf**1394-1411 A Tale of Two Time Scales: Determining Integrated Volatility With Noisy High-Frequency Data***by*Zhang, Lan & Mykland, Per A. & Ait-Sahalia, Yacine**1422-1428 A Family of Symmetric Distributions on the Circle***by*Jones, M.C. & Pewsey, Arthur**1429-1442 Nonparametric Model Calibration Estimation in Survey Sampling***by*Montanari, Giorgio E. & Ranalli, M. Giovanna**1443-1455 Structural Equation Models: A Review With Applications to Environmental Epidemiology***by*Sanchez, Brisa N. & Budtz-Jorgensen, Esben & Ryan, Louise M. & Hu, Howard**1457-1457 Optimization. Kenneth Lange***by*Steele, Russell**1458-1459 Periodic Time Series Models. Philip Hans Franses and Richard Paap***by*Lund, Robert**1459-1460 Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments. Hrishikesh D. Vinod and Derrick P. Reagle***by*Malevergne, Yannick**1461-1462 Information Theory, Inference, and Learning Algorithms. David J. C. MacKay***by*Yang, Yuhong**1462-1462 Stereology for Statisticians. Adrian Baddeley and Eva B. Vedel Jensen***by*Annis, David H.**1463-1463 Multiple Analyses in Clinical Trials: Fundamentals for Investigators. Lemuel A. Moye***by*Dmitrienko, Alex**1464-1464 Statistical Methods in Genetic Epidemiology. Duncan C. Thomas***by*Kraft, Peter & Lange, Christoph**1465-1466 Kendall's Advanced Theory of Statistics, Vol. 2B: Bayesian Inference (2nd ed.). Anthony O'Hagan and Jonathan Forster***by*Ankerst, D. Pauler**712-712 Mathematical and Statistical Methods for Genetic Analysis (2nd ed.). Kenneth Lange***by*Carey, Vincent J.**711-711 Microarray Quality Control. Wei Zhang, Ilya Shmulevich, and Jaakko Astola***by*Gentleman, Robert**708-708 Experimental and Quasi-Experimental Designs for Generalized Causal Inference. William R. Shadish, Thomas D. Cook, and Donald T. Campbell***by*Anderson-Cook, Christine M.**705-707 Computational Methods in Statistics and Econometrics. Hisashi Tanizaki***by*Baiocchi, Giovanni**704-705 Quantitative Methods in Population Health: Extensions of Ordinary Regression. Mari Palta***by*Hade, Erinn M.**1465-1465 Discovering Knowledge in Data: an Introduction to Data Mining. Daniel T. Larose***by*Marcoulides, George A.**1464-1465 Analyzing Microarray Gene Expression Data. Geoffrey J. McLachlan, Kim-Anh Do, and Christophe Ambroise***by*Goldstein, Darlene R.**1462-1463 Measurement Theory and Practice: The World Through Quantification. David J. Hand***by*McCullough, B.D.**1461-1461 Levy Processes and Stochastic Calculus. David Applebaum***by*Novikov, Alexander**1458-1458 Statistics, Econometrics and Forecasting. Arnold Zellner***by*Leippold, Markus**1457-1458 Permutation, Parametric, and Bootstrap Tests of Hypotheses (3rd ed.). Phillip Good***by*Annis, David H.**1098-1098 An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation: Desmond J. Higham***by*Korn, Ralf**1094-1094 Weibull Models: Prabhakar D. N. Murthy, Min Xie, and Renyan Jiang***by*Neslehova, Johanna

### 2004, Volume 99

**1-6 Does the Statistics Profession Have an Identity Crisis?***by*Mason, Robert L.

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