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American Statistical Association

The American Statistician

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2011, Volume 65, Issue 3

• 143-148 Statistical Sleuthing by Leveraging Human Nature: A Study of Olympic Figure Skating
  by Emerson, John W. & Arnold, Taylor B.
• 149-153 Using Randomized Confidence Limits to Balance Risk: An Application to Medicare Investigations
  by Gilliland, Dennis & Edwards, Don
• 154-163 The Identification of “Unusual†Health-Care Providers From a Hierarchical Model
  by Jones, Hayley E. & Spiegelhalter, David J.
• 164-166 A Note on Comparing the Power of Test Statistics at Low Significance Levels
  by Morris, Nathan & Elston, Robert
• 167-169 Fisher’s Conditionality Principle in Statistical Pattern Recognition
  by Priebe, Carey E.
• 170-176 Swivelling Probabilities—The Winning Hand at Poker
  by Barr, G. D. I. & Dowie, K.
• 177-182 AP Statistics: Building Bridges Between High School and College Statistics Education
  by Franklin, Christine & Hartlaub, Brad & Peck, Roxy & Scheaffer, Richard & Thiel, David & Tranbarger Freier, Katherine
• 183-189 A Capstone Course for Undergraduate Statistics Majors
  by Lazar, Nicole A. & Reeves, Jaxk & Franklin, Christine
• 190-197 Missteps in Multiple Regression Student Projects: Beyond Association-Not-Causation
  by Smith, Marlene A.
• 198-199 The Expectation of Sample Central Moments
  by Kong, Yong
• 200-200 Section Editor’s Notes
  by Oster, Robert A.

2011, Volume 65, Issue 2

• 71-79 Are Biostatistics Students Prepared to Succeed in the Era of Interdisciplinary Science? (And How Will We Know?)
  by Begg, Melissa D. & Vaughan, Roger D.
• 80-88 Statistics in the News
  by Plante, Jean-François & Reid, Nancy
• 89-95 Skewness-Invariant Measures of Kurtosis
  by Jones, M. C. & Rosco, J. F. & Pewsey, Arthur
• 96-103 Distributional Characteristics: Just a Few More Moments
  by McDonald, James B. & Turley, Patrick
• 104-109 A Practical Way for Computing Approximate Lower and Upper Correlation Bounds
  by Demirtas, Hakan & Hedeker, Donald
• 110-112 A Geometrical Interpretation of an Alternative Formula for the Sample Covariance
  by Hayes, Kevin
• 113-114 Section Editor’s Notes
  by Oster, Robert A.
• 115-126 Using Infer.NET for Statistical Analyses
  by Wang, S. S. J. & Wand, M. P.
• 127-135 Group Sequential Methods and Software Applications
  by Zhu, Li & Ni, Liyun & Yao, Bin

2011, Volume 65, Issue 1

• 1-10 Rethinking Assessment of Student Learning in Statistics Courses
  by Garfield, Joan & Zieffler, Andrew & Kaplan, Daniel & Cobb, George W. & Chance, Beth L. & Holcomb, John P.
• 11-15 Structured Testing of 2×2 Factorial Effects: An Analytic Plan Requiring Fewer Observations
  by Small, Dylan S. & Volpp, Kevin G. & Rosenbaum, Paul R.
• 16-20 Efficient Classification-Based Relabeling in Mixture Models
  by Cron, Andrew J. & West, Mike
• 21-30 Optimal Nonbipartite Matching and Its Statistical Applications
  by Lu, Bo & Greevy, Robert & Xu, Xinyi & Beck, Cole
• 31-36 Permutation and F Distribution of Tests in the Multivariate General Linear Model
  by Zeng, Chan & Pan, Zhaoxing & MaWhinney, Samantha & Barón, Anna E. & Zerbe, Gary O.
• 37-42 Euler’s Contributions to Mathematics Useful in Statistics
  by David, Herbert A.
• 43-43 Section Editor’s Notes
  by Oster, Robert A.
• 44-54 Concerns About Maximum Likelihood Estimation for the Three-Parameter Weibull Distribution: Case Study of Statistical Software
  by Harper, William V. & Eschenbach, Ted G. & James, Thomas R.
• 55-60 Previously Unrecognized Links Between Statistical Dependence and Some Common Modes of Convergence
  by Du, Yeting & Hundt, Christopher & Wolfson, David B.

2010, Volume 64, Issue 4

• 277-281 The Changing History of Robustness
  by Stigler, Stephen M.
• 282-290 Nano-Project Qualifying Exam Process: An Intensified Dialogue Between Students and Faculty
  by Blitzstein, Joseph & Meng, Xiao-Li
• 291-298 Construction of Confidence Intervals and Regions for Ordered Binomial Probabilities
  by Li, Zhiguo & Taylor, Jeremy M. G. & Nan, Bin
• 299-309 Using the Cross-Match Test to Appraise Covariate Balance in Matched Pairs
  by Heller, Ruth & Rosenbaum, Paul R. & Small, Dylan S.
• 310-317 Identifying Key Statistical Papers From 1985 to 2002 Using Citation Data for Applied Biostatisticians
  by Schell, Michael J.
• 318-324 A Note on the Indeterminacy of the Random-Effects Distribution in Hierarchical Models
  by Alonso, Ariel & Litière, Saskia & Laenen, Annouschka
• 325-334 Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
  by Hodges, James S. & Reich, Brian J.
• 335-339 A General Example for Benford Data
  by Block, Henry W. & Savits, Thomas H.
• 340-344 Simpson’s Paradox From Adding Constants in Contingency Tables as an Example of Bayesian Noncollapsibility
  by Greenland, Sander
• 345-349 A Decision-Theoretic Formulation of Fisher’s Approach to Testing
  by Rice, Kenneth
• 350-356 Variance Stabilizing the Difference of Two Binomial Proportions
  by Kulinskaya, Elena & Morgenthaler, Stephan & Staudte, Robert G.

2010, Volume 64, Issue 3

• 197-204 Strategies for Pulling the Goalie in Hockey
  by Beaudoin, David & Swartz, Tim B.
• 205-211 Two Pitfalls in Survival Analyses of Time-Dependent Exposure: A Case Study in a Cohort of Oscar Nominees
  by Wolkewitz, Martin & Allignol, Arthur & Schumacher, Martin & Beyersmann, Jan
• 212-220 Ronald Fisher and Gertrude Cox: Two Statistical Pioneers Sometimes Cooperate and Sometimes Collide
  by Hall, Nancy S.
• 221-227 When Can One Test an Explanation? Compare and Contras Benford’s Law and the Fuzzy CLT
  by Aldous, David & Phan, Tung
• 228-230 A Moment Generating Function Proof of the Lindeberg–Lévy Central Limit Theorem
  by Inlow, Mark
• 231-233 When Finiteness Matters: Counterexamples to Notions of Covariance, Correlation, and Independence
  by Mukhopadhyay, Nitis
• 234-241 A Geometric Comparison of the Delta and Fieller Confidence Intervals
  by Hirschberg, Joe & Lye, Jenny
• 242-249 Fixed-Width Sequential Confidence Intervals for a Proportion
  by Frey, Jesse
• 250-256 Closed Form Prediction Intervals Applied for Disease Counts
  by Wang, Hsiuying
• 257-262 On the Probability of Improved Accuracy With Increased Sample Size
  by Webb, Russell Y. & Smith, Peter J. & Firag, Abdulla
• 263-267 Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random
  by Yuan, Ke-Hai & Bentler, Peter M.

2010, Volume 64, Issue 2

• 97-107 Computing in the Statistics Curricula
  by Nolan, Deborah & Temple Lang, Duncan
• 108-115 Calculating Strength of Schedule, and Choosing Teams for March Madness
  by Fearnhead, Paul & Taylor, Benjamin M.
• 116-120 Estimation in Reversible Markov Chains
  by Annis, David H. & Kiessler, Peter C. & Lund, Robert & Steuber, Tara L.
• 121-130 Rank-Based Analyses of Stratified Experiments: Alternatives to the van Elteren Test
  by Mehrotra, Devan V. & Lu, Xiaomin & Li, Xiaoming
• 131-139 Three Examples of Accurate Likelihood Inference
  by Lozada-Can, C. & Davison, A. C.
• 140-153 Explaining Variational Approximations
  by Ormerod, J. T. & Wand, M. P.
• 154-158 Improper Priors Are Not Improper
  by Taraldsen, Gunnar & Lindqvist, Bo Henry
• 159-163 A Note on Bayesian Inference After Multiple Imputation
  by Zhou, Xiang & Reiter, Jerome P.
• 164-169 Bayesian Decision Making About Small Binomial Rates With Uncertainty About the Prior
  by Longford, Nicholas T.
• 170-173 Is the t Confidence Interval XÌ… ± tα (n − 1)s / √n Optimal?
  by Zuo, Yijun
• 174-184 The First (Known) Statistical Graph: Michael Florent van Langren and the “Secret†of Longitude
  by Friendly, Michael & Valero-Mora, Pedro & Ibáñez Ulargui, Joaquín
• 192-192 Letter to the Editor
  by Cohen, Michael P.
• 193-194 Letter to the Editor
  by Hogbin, Martin & Nijdam, W.

2010, Volume 64, Issue 1

• 1-5 Passion-Driven Statistics
  by Easterling, Robert G.
• 6-9 Desired and Feared—Quo vadis or Quid agis?
  by Fox, David R.
• 10-14 Moving the Statistics Profession Forward to the Next Level
  by Hoerl, Roger W. & Snee, Ronald D.
• 15-18 Thoughts on the Importance of the Undergraduate Statistics Experience to the Discipline’s (and Society’s) Future
  by Kotz, Brian C.
• 19-20 Who Is Teaching Introductory Statistics?
  by Soler, Frank P.
• 21-22 The Business of Desire and Fear
  by Cleary, Rick & Woolford, Sam
• 23-25 Response to ‘Desired and Feared—What Do We Do Now and Over the Next 50 Years’ by Xiao-Li Meng
  by von Collani, Elart
• 26-29 Rejoinder: Better Training, Deeper Thinking, and More Policing
  by Meng, Xiao-Li
• 30-33 The t-Test p Value and Its Relationship to the Effect Size and P(X>Y)
  by Browne, Richard H.
• 34-36 Comparing Continuous and Discrete Birthday Coincidences: “Same-Day†versus “Within 24 Hoursâ€
  by Schwarz, Wolf
• 37-45 On Estimating the Face Probabilities of Shaved Dice With Partial Data
  by Pavlides, Marios G. & Perlman, Michael D.
• 46-51 Elementary Statistical Methods and Measurement Error
  by Vardeman, Stephen B. & Wendelberger, Joanne R. & Burr, Tom & Hamada, Michael S. & Moore, Leslie M. & Jobe, J. Marcus & Morris, Max D. & Wu, Huaiqing
• 52-58 Resequencing Topics in an Introductory Applied Statistics Course
  by Malone, Christopher J. & Gabrosek, John & Curtiss, Phyllis & Race, Matt
• 59-69 A Model for an Interdisciplinary Undergraduate Research Program
  by Legler, Julie & Roback, Paul & Ziegler-Graham, Kathryn & Scott, James & Lane-Getaz, Sharon & Richey, Matthew
• 70-77 Could It Be Better to Discard 90% of the Data? A Statistical Paradox
  by Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos
• 78-82 Beyond the Quintessential Quincunx
  by Proschan, Michael A. & Rosenthal, Jeffrey S.
• 83-87 Comparison of Software Algorithms for Calculating REML Wald Type Confidence Limits for the Between-Group Variance Component in a Small Sample One-Way Random Effects Model Example
  by Lynn, Henry S. & Dong, Zhanjian & Mu, Zhe

2009, Volume 63, Issue 4

• 297-307 Rating Movies and Rating the Raters Who Rate Them
  by Zhou, Hua & Lange, Kenneth
• 308-319 Variable Importance Assessment in Regression: Linear Regression versus Random Forest
  by Grömping, Ulrike
• 320-327 A Fresh Look at the Discriminant Function Approach for Estimating Crude or Adjusted Odds Ratios
  by Lyles, Robert H. & Guo, Ying & Hill, Andrew N.
• 328-334 Representation of Multiplicative Seasonal Vector Autoregressive Moving Average Models
  by Yozgatligil, Ceylan & Wei, William W. S.
• 335-342 Examining Factors to Better Understand Autoregressive Models
  by Woodward, Wayne A. & Gray, Henry L. & Haney, James R. & Elliott, Alan C.
• 343-347 Guided Labs That Introduce Statistical Techniques Used in Research From Multiple Disciplines
  by Kuiper, Shonda & Collins, Linda
• 348-355 Managing Case Discussions in Introductory Business Statistics Classes: Practical Approaches for Instructors
  by Smith, Marlene A. & Bryant, Peter G.
• 356-360 Revisiting the Classical Occupancy Problem
  by Williamson, Patricia Pepple & Mays, Darcy P. & Abay Asmerom, Ghidewon & Yang, Yingying
• 361-365 Teaching Variation Reduction Using a Virtual Manufacturing Environment
  by Steiner, Stefan H. & MacKay, R. Jock
• 366-372 Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
  by Tjur, Tue
• 373-377 A Note on B-Splines for Semiparametric Elicitation
  by Bornkamp, Björn & Ickstadt, Katja
• 378-388 Nonlinear Models for Longitudinal Data
  by Serroyen, Jan & Molenberghs, Geert & Verbeke, Geert & Davidian, Marie
• 389-399 The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method
  by Faes, Christel & Molenberghs, Geert & Aerts, Marc & Verbeke, Geert & Kenward, Michael G.
• 400-400 Section Editor’s Notes
  by Oster, Robert A.

2009, Volume 63, Issue 3

• 201-201 An Invitation: Editor’s Introduction to “Desired and Feared—What Do We Do Now and Over the Next 50 Years?â€
  by Stufken, John
• 202-210 Desired and Feared—What Do We Do Now and Over the Next 50 Years?
  by Meng, Xiao-Li
• 211-217 A Selection Bias Conflict and Frequentist versus Bayesian Viewpoints
  by Mandel, Micha & Rinott, Yosef
• 218-225 A Regression Paradox for Linear Models: Sufficient Conditions and Relation to Simpson’s Paradox
  by Chen, Aiyou & Bengtsson, Thomas & Ho, Tin Kam
• 226-233 How Likely Is Simpson’s Paradox?
  by Pavlides, Marios G. & Perlman, Michael D.
• 234-238 Uniformly Hyper-Efficient Bayes Inference in a Class of Nonregular Problems
  by Nordman, Daniel J. & Vardeman, Stephen B. & Bingham, Melissa A.
• 239-246 Greenhouse–Geisser Adjustment and the ANOVA-Type Statistic: Cousins or Twins?
  by Bathke, Arne C. & Schabenberger, Oliver & Tobias, Randall D. & Madden, Laurence V.
• 247-253 Unifying the Named Natural Exponential Families and Their Relatives
  by Morris, Carl N. & Lock, Kari F.
• 254-257 A Statistical Problem Concerning the Mar Saba Letter
  by Solow, Andrew R. & Smith, Woollcott K.
• 258-262 A Simple Correlation Adjustment Procedure Applied to Confidence Interval Construction
  by Andersson, Per Gösta
• 263-268 Does Your iPod Really Play Favorites?
  by Froelich, Amy G. & Duckworth, William M. & Culhane, Jessica
• 269-273 The Island Problem Revisited
  by Mehlum, Halvor
• 274-277 Some Suggestions for Teaching About Normal Approximations to Poisson and Binomial Distribution Functions
  by Lesch, Scott M. & Jeske, Daniel R.
• 278-280 A New Way to Derive Locally Most Powerful Rank Tests
  by Kuk, Anthony Y. C.
• 294-294 Letter to the Editor
  by Tuyl, Frank
• 295-295 Letter to the Editor
  by Hamedani, G. G. & Volkmer, H. W.

2009, Volume 63, Issue 2

• 111-111 Comment
  by Johnstone, Iain
• 112-113 Comment
  by Gibbs, Alison & Reid, Nancy
• 114-114 Comment
  by Madigan, David & Gelman, Andrew
• 115-116 Comment
  by Hedayat, Samad & Stufken, John
• 117-121 Comment
  by Nolan, Deborah & Temple Lang, Duncan
• 122-123 Rejoinder
  by Brown, Emery N. & Kass, Robert E.
• 124-131 Assessing Judging Bias: An Example From the 2000 Olympic Games
  by Emerson, John W. & Seltzer, Miki & Lin, David
• 132-140 Approximate Confidence Intervals for p When Double Sampling
  by Ryan, Kenneth J.
• 141-146 Design Effect Caveats
  by Gambino, Jack G.
• 147-154 Easy Multiplicity Control in Equivalence Testing Using Two One-Sided Tests
  by Lauzon, Carolyn & Caffo, Brian
• 155-162 On the Assessment of Monte Carlo Error in Simulation-Based Statistical Analyses
  by Koehler, Elizabeth & Brown, Elizabeth & Haneuse, Sebastien J.-P. A.
• 163-172 Passing on the Passion for the Profession
  by Landes, Reid D.
• 173-178 Understanding Convergence Concepts: A Visual-Minded and Graphical Simulation-Based Approach
  by Lafaye de Micheaux, Pierre & Liquet, Benoit
• 179-184 The History of the Cluster Heat Map
  by Wilkinson, Leland & Friendly, Michael
• 185-186 A Historical Note on Zero Correlation and Independence
  by David, Herbert A.
• 187-188 Section Editor’s Notes
  by Oster, Robert A.

2009, Volume 63, Issue 1

• 1-8 Splitting a Predictor at the Upper Quarter or Third and the Lower Quarter or Third
  by Gelman, Andrew & Park, David K.
• 9-16 Sample Surveys With Sensitive Questions: A Nonrandomized Response Approach
  by Tan, Ming T. & Tian, Guo-Liang & Tang, Man-Lai
• 17-19 Improving Prediction Intervals: Some Elementary Methods
  by Yu, Keming & Ally, Abdallah
• 20-25 The Median Is the Message: Wilson and Hilfertys Experiments on the Law of Errors
  by Koenker, Roger
• 26-32 A Simple Explanation of Benford's Law
  by Fewster, R. M.
• 33-36 How to Compute a Mean? The Chisini Approach and Its Applications
  by Graziani, Rebecca & Veronese, Piero
• 37-39 An Application of the Residue Calculus: The Distribution of the Sum of Nonhomogeneous Gamma Variates
  by Hagwood, Charles
• 40-42 Influence Measures for General Linear Models With Correlated Errors
  by Shi, Lei & Chen, Gemai
• 43-44 A Simple Proof of the Binomial Theorem Using Differential Calculus
  by Hwang, Leng-Cheng
• 45-48 PDFs and Dual PDFs
  by Nadarajah, Saralees
• 49-55 A Reformulation of Weighted Least Squares Estimators
  by Lee, Jaechoul
• 56-65 Where's Waldo? Visualizing Collinearity Diagnostics
  by Friendly, Michael & Kwan, Ernest
• 66-74 Statistical Applications of the Complex-Step Method of Numerical Differentiation
  by Ridout, Martin S.
• 78-80 The Mean, Median, and Confidence Intervals of the Kaplan-Meier Survival Estimate—Computations and Applications
  by Barker, Chris
• 81-91 Review of Three Latent Class Cluster Analysis Packages: Latent Gold, poLCA, and MCLUST
  by Haughton, Dominique & Legrand, Pascal & Woolford, Sam

2008, Volume 62, Issue 4

• 279-288 Improving the Presentation and Interpretation of Online Ratings Data with Model-Based Figures
  by Ho, Daniel E & Quinn, Kevin M
• 289-295 Regression to the Mean, Murder Rates, and Shall-Issue Laws
  by Grambsch, Patricia
• 296-306 Parametric Nonparametric Statistics
  by Christensen, Ronald & Hanson, Timothy & Jara, Alejandro
• 307-313 Flexible Frames and Control Sampling in Case-Control Studies
  by Potthoff, Richard F & Halabi, Susan & Schildkraut, Joellen M & Newman, Beth
• 314-320 Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers
  by Vickers, Andrew J
• 321-328 Biostatistics @ Distance
  by Heller, Gillian Z & Forbes, Andrew B & Dear, Keith B.G & Jobling, Erica
• 329-339 Design and Development of Digital Learning Material for Applied Data Analysis
  by Busstra, M.C & Geelen, A & Feskens, E.J & Hartog, R.J.M & Veer, P. van 't
• 340-347 Displaying Uncertainty With Shading
  by Jackson, Christopher H
• 348-354 Visualizing Peak and Tails to Introduce Kurtosis
  by Kotz, Samuel & Seier, Edith
• 355-355 Section Editor's Note
  by Hilbe, Joseph M
• 356-356 Bayesian Methods: A Social and Behavioral Sciences Approach
  by Lee, Herbert K. H
• 357-358 Elementary Statistics: Picturing the World
  by Chapman, Jessica
• 358-358 Modern Mathematical Statistics with Applications
  by Stamey, James
• 359-359 SAS Graphics for Java: Examples Using SAS AppDev Studio and the Output Delivery System
  by Pratter, Frederick M
• 360-360 Statistical and Probabilistic Methods in Actuarial Science
  by Wüthrich, Mario V
• 361-361 Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data
  by Khan, M. G. M
• 362-362 Analyzing Receiver Operating Characteristic Curves With SAS
  by Hall, Daniel B
• 363-363 Unlocking the Census with GIS
  by Gotway Crawford, Carol A
• 363-363 Workshop Statistics: Discovery With Data
  by Richardson, Mary
• 362-363 Statistics
  by Devore, Jay
• 362-362 SAS Programming for Enterprise Guide Users
  by Speed, F. Michael
• 360-361 Statistical Thinking in Sports
  by Fellingham, Gilbert W
• 359-360 Statistical Development of Quality in Medicine
  by Zamba, Gideon (K.D.)
• 356-357 Data Preparation for Analytics Using SAS
  by Wiegand, Ryan E

2008, Volume 62

• 1-10 Predicting Presidential and Other Multistage Election Outcomes Using State-Level Pre-Election Polls
  by Christensen, William F. & Florence, Lindsay W.
• 11-16 Percentage-Based versus Statistical-Power-Based Vote Tabulation Audits
  by McCarthy, John & Stanislevic, Howard & Lindeman, Mark & Ash, Arlene S. & Addona, Vittorio & Batcher, Mary
• 17-21 A Better Estimate of the Number of Valid Signatures on a Petition
  by Whiteside, Mary M. & Eakin, Mark E.
• 22-26 The Role of Likelihood in Interval Estimation
  by Boyles, Russell A.
• 27-31 Sample Size Determination for Binomial Proportion Confidence Intervals: An Alternative Perspective Motivated by a Legal Case
  by Afshartous, David
• 32-39 Confidence Intervals for a Discrete Population Median
  by Larocque, Denis & Randles, Ronald H.
• 40-44 A Comparison of BayesLaplace, Jeffreys, and Other Priors: The Case of Zero Events
  by Tuyl, Frank & Gerlach, Richard & Mengersen, Kerrie
• 45-53 Univariate Distribution Relationships
  by Leemis, Lawrence M. & McQueston, Jacquelyn T.
• 54-61 Assessing Student Retention of Essential Statistical Ideas: Perspectives, Priorities, and Possibilities
  by Berenson, Mark L. & Utts, Jessica & Kinard, Karen A. & Rumsey, Deborah J. & Jones, Albyn & Gaines, Leonard M.
• 62-63 The Normal Approximation to the Binomial
  by Proschan, Michael A.
• 64-69 t Distribution Centennial: Student's z, t, and s: What if Gosset had R?
  by Hanley, James A. & Julien, Marilyse & Moodie, Erica E.M.
• 70-72 The Beginnings of Randomization Tests
  by David, Herbert A.
• 73-73 Section Editor's Notes
  by Hilbe, Joseph M.
• 74-84 An Examination of Statistical Software Packages for Parametric and Nonparametric Data Analyses Using Exact Methods
  by Oster, Robert A. & Hilbe, Joseph M.
• 85-89 Hawkes Learning Systems: Statistics
  by Hilbe, Joseph M.
• 90-91 Fundamentals of Probability and Statistics for Engineers, T. T. Soong; Statistical Techniques for Data Analysis (2nd ed.), John K. Taylor and Cheryl Cihon; Statistics: An Introduction (3rd ed.), Peter M. Lee
  by Cleary, Richard J.
• 91-91 Data Mining Methods and Models, Daniel T. Larose
  by Su, Xiaogang
• 92-92 Multivariable Analysis: A Practical Guide for Clinicians (2nd ed.), Mitchell H. Katz; Study Design and Statistical Analysis: A Practical Guide for Clinicians, Mitchell H. Katz
  by Liss, Charles L.
• 97-109 Kernels and Ensembles: Perspectives on Statistical Learning
  by Zhu, Mu
• 110-119 Survival Analysis: A Primer
  by Freedman, David A.
• 120-124 Choosing a Coverage Probability for Prediction Intervals
  by Landon, Joshua & Singpurwalla, Nozer D.
• 125-129 Using Calibration to Improve Rounding in Imputation
  by Yucel, Recai M. & He, Yulei & Zaslavsky, Alan M.
• 130-134 The North Carolina Lottery Coincidence
  by Stefanski, Leonard A.
• 135-137 A Surprising MLE for Interval-Censored Binomial Data
  by Frey, Jesse & Marrero, Osvaldo
• 138-140 On the Simple Symmetric Random Walk and its Maximal Function
  by Palacios, Jose Luis
• 141-143 A General Proof of Some Known Results of Independence Between Two Statistics
  by Datta, Gauri S. & Sarkar, Sanat K.
• 144-146 A Unique Property of the Normal Distribution Associated With Perturbing a General Random Variable
  by Willink, Robin
• 147-150 A Recursive Formula for Computing Central Moments of a Multivariate Lognormal Distribution
  by Skoulakis, Georgios
• 151-154 Is the Overtime Period in an NHL Game Long Enough? An Example for Teaching Estimation and Hypothesis Testing in the Presence of Censored Data
  by Brimberg, Jack & Hurley, W.J.
• 155-160 Experiences Teaching Probability and Statistics with Personal Laptops in the Classroom Daily
  by Bell, Richard C. & Glen, Andrew G.
• 161-166 Helping Students to Build a Conceptual Understanding of Elementary Statistics
  by Broers, Nick J.
• 167-170 A Note on Improved Approximation of the Binomial Distribution by the Skew-Normal Distribution
  by Chang, Ching-Hui & Lin, Jyh-Jiuan & Pal, Nabendu & Chiang, Miao-Chen
• 171-172 Section Editor's Notes
  by Hilbe, Joseph M.
• 173-176 Rejoinder to
  by Oster, Robert A. & Hilbe, Joseph M.

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