# Elsevier

# Computational Statistics & Data Analysis

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### 2010, Volume 54, Issue 12

**3242-3248 An evolutionary algorithm for robust regression***by*Nunkesser, Robin & Morell, Oliver**3249-3268 Bayesian variable selection and model averaging in the arbitrage pricing theory model***by*Ouysse, Rachida & Kohn, Robert**3269-3288 Default Bayesian model determination methods for generalised linear mixed models***by*Overstall, Antony M. & Forster, Jonathan J.**3289-3299 Bayesian variable selection for Poisson regression with underreported responses***by*Powers, Stephanie & Gerlach, Richard & Stamey, James**3300-3312 Robust model selection with flexible trimming***by*Riani, Marco & Atkinson, Anthony C.**3313-3323 Combining regular and irregular histograms by penalized likelihood***by*Rozenholc, Yves & Mildenberger, Thoralf & Gather, Ursula**3324-3335 New approaches to compute Bayes factor in finite mixture models***by*Rufo, M.J. & Martín, J. & Pérez, C.J.**3336-3347 Frequentist Model Averaging with missing observations***by*Schomaker, Michael & Wan, Alan T.K. & Heumann, Christian**3348-3358 A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis***by*Unkel, S. & Trendafilov, N.T.**3359-3370 Modeling strategies in longitudinal data analysis: Covariate, variance function and correlation structure selection***by*Wang, You-Gan & Hin, Lin-Yee**3371-3378 Robustness of design for the testing of lack of fit and for estimation in binary response models***by*Wiens, Douglas P.**3379-3380 3rd Special issue on matrix computations and statistics***by*Barlow, Jesse & Eldén, Lars & Foschi, Paolo**3381-3391 Update formulas for split-plot and block designs***by*Arnouts, Heidi & Goos, Peter**3392-3403 Matrix strategies for computing the least trimmed squares estimation of the general linear and SUR models***by*Hofmann, Marc & Kontoghiorghes, Erricos John**3404-3410 A fast algorithm for computing least-squares cross-validations for nonparametric conditional kernel density functions***by*Ichimura, Tsuyoshi & Fukuda, Daisuke**3411-3420 Approximate low-rank factorization with structured factors***by*Markovsky, Ivan & Niranjan, Mahesan**3421-3429 Local-moment nonparametric density estimation of pre-binned data***by*Papkov, Galen I. & Scott, David W.**3430-3445 Regularization parameter estimation for large-scale Tikhonov regularization using a priori information***by*Renaut, Rosemary A. & Hnetynková, Iveta & Mead, Jodi**3446-3457 Stepwise estimation of common principal components***by*Trendafilov, Nickolay T.**3458-3465 -optimal designs for a hierarchically ordered system of regression models***by*Yue, Rong-Xian & Liu, Xin

### 2010, Volume 54, Issue 11

**2359-2359 The Fifth Special Issue on Computational Econometrics***by*Belsley, David A. & Duchesne, Pierre & Kapetanios, George & John Kontoghiorghes, Erricos & Paolella, Marc & van Dijk, Herman K.**2360-2371 Joint forecasts of Dow Jones stocks under general multivariate loss function***by*Alp, Tansel & Demetrescu, Matei**2372-2382 Modeling tick-by-tick realized correlations***by*Audrino, Francesco & Corsi, Fulvio**2383-2399 Time-varying joint distribution through copulas***by*Ausin, M. Concepcion & Lopes, Hedibert F.**2400-2418 Intradaily dynamic portfolio selection***by*Bauwens, Luc & Ben Omrane, Walid & Rengifo, Erick**2419-2431 Public news announcements and quoting activity in the Euro/Dollar foreign exchange market***by*Ben Omrane, Walid & Heinen, Andréas**2432-2442 From short to long memory: Aggregation and estimation***by*Beran, Jan & Schützner, Martin & Ghosh, Sucharita**2443-2458 Market linkages, variance spillovers, and correlation stability: Empirical evidence of financial contagion***by*Billio, Monica & Caporin, Massimiliano**2459-2469 Robust M-estimation of multivariate GARCH models***by*Boudt, Kris & Croux, Christophe**2470-2486 Automated variable selection in vector multiplicative error models***by*Cipollini, Fabrizio & Gallo, Giampiero M.**2487-2497 Simple and effective boundary correction for kernel densities and regression with an application to the world income and Engel curve estimation***by*Dai, J. & Sperlich, S.**2498-2511 Tests for cointegration with structural breaks based on subsamples***by*Davidson, James & Monticini, Andrea**2512-2531 On testing for serial correlation of unknown form using wavelet thresholding***by*Duchesne, Pierre & Li, Linyuan & Vandermeerschen, Jill**2532-2553 Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form***by*Dufour, Jean-Marie & Taamouti, Abderrahim**2554-2561 Estimation uncertainty in structural inflation models with real wage rigidities***by*Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral**2562-2579 Three-stage semi-parametric estimation of T-copulas: Asymptotics, finite-sample properties and computational aspects***by*Fantazzini, Dean**2580-2593 Wavelet-based detection of outliers in financial time series***by*Grané, Aurea & Veiga, Helena**2594-2608 Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes***by*Griffin, J.E. & Steel, M.F.J.**2609-2627 Efficient estimation of a semiparametric dynamic copula model***by*Hafner, Christian M. & Reznikova, Olga**2628-2640 Real time detection of structural breaks in GARCH models***by*He, Zhongfang & Maheu, John M.**2641-2654 Exact maximum likelihood estimation for non-stationary periodic time series models***by*Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius**2655-2675 Factor-GMM estimation with large sets of possibly weak instruments***by*Kapetanios, George & Marcellino, Massimiliano**2676-2692 Forecasting volatility under fractality, regime-switching, long memory and student-t innovations***by*Lux, Thomas & Morales-Arias, Leonardo**2693-2706 Optimization heuristics for determining internal rating grading scales***by*Lyra, M. & Paha, J. & Paterlini, S. & Winker, P.**2707-2720 Exploratory data analysis and model criticism with posterior plots***by*Naylor, J.C. & Tremayne, A.R. & Marriott, J.M.**2721-2735 Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach***by*Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko**2736-2752 Tobit model with covariate dependent thresholds***by*Omori, Yasuhiro & Miyawaki, Koji**2753-2762 Efficient importance sampling maximum likelihood estimation of stochastic differential equations***by*Pastorello, S. & Rossi, E.**2763-2775 Semiparametric indirect utility and consumer demand***by*Pendakur, Krishna & Scholz, Michael & Sperlich, Stefan**2776-2785 A regression tree algorithm for the identification of convergence clubs***by*Postiglione, Paolo & Benedetti, Roberto & Lafratta, Giovanni**2786-2800 Model and distribution uncertainty in multivariate GARCH estimation: A Monte Carlo analysis***by*Rossi, E. & Spazzini, F.**2801-2813 Robust panel unit root tests for cross-sectionally dependent multiple time series***by*Shin, Dong Wan & Park, Sangun**2814-2835 Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach***by*Strid, Ingvar**2836-2849 A linearly distributed lag estimator with r-convex coefficients***by*Vassiliou, E.E. & Demetriou, I.C.**2850-2865 Non-linear time series clustering based on non-parametric forecast densities***by*Vilar, J.A. & Alonso, A.M. & Vilar, J.M.**2866-2877 Sparse seemingly unrelated regression modelling: Applications in finance and econometrics***by*Wang, Hao

### 2010, Volume 54, Issue 10

**2203-2213 Early stopping in L2Boosting***by*Ivan Chang, Yuan-Chin & Huang, Yufen & Huang, Yu-Pai**2214-2229 Design-based estimation for geometric quantiles with application to outlier detection***by*Chaouch, Mohamed & Goga, Camelia**2230-2243 Variable selection via combined penalization for high-dimensional data analysis***by*Wang, Xiaoming & Park, Taesung & Carriere, K.C.**2244-2252 A multivariate control chart for simultaneously monitoring process mean and variability***by*Zhang, Jiujun & Li, Zhonghua & Wang, Zhaojun**2253-2266 Mixtures of regressions with predictor-dependent mixing proportions***by*Young, D.S. & Hunter, D.R.**2267-2275 Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables***by*White, Ian R. & Daniel, Rhian & Royston, Patrick**2276-2283 Estimating the mixing proportion in a semiparametric mixture model***by*Song, Seongjoo & Nicolae, Dan L. & Song, Jongwoo**2284-2295 Order selection tests with multiply imputed data***by*Consentino, Fabrizio & Claeskens, Gerda**2296-2305 Confidence intervals for dependent data: Equating non-overlap with statistical significance***by*Afshartous, David & Preston, Richard A.**2306-2316 A bootstrap test for equality of variances***by*Cahoy, Dexter O.**2317-2327 Statistical simulation and the distribution of distances between identical elements in a random sequence***by*Zörnig, Peter**2328-2342 New EWMA control charts for monitoring process dispersion***by*Huwang, Longcheen & Huang, Chun-Jung & Wang, Yi-Hua Tina**2343-2357 Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition***by*Köhn, Hans-Friedrich**2358-2358 Retracted: The functional singular value decomposition for bivariate stochastic processes***by*Gervini, Daniel

### 2010, Volume 54, Issue 9

**2053-2065 Max-type rank tests, U-tests, and adaptive tests for the two-sample location problem -- An asymptotic power study***by*Kössler, Wolfgang**2066-2081 Inference for a simple step-stress model with competing risks for failure from the exponential distribution under time constraint***by*Han, Donghoon & Balakrishnan, N.**2082-2093 A new image segmentation algorithm with applications to image inpainting***by*Ojeda, Silvia & Vallejos, Ronny & Bustos, Oscar**2094-2102 An encompassing prior generalization of the Savage-Dickey density ratio***by*Wetzels, Ruud & Grasman, Raoul P.P.P. & Wagenmakers, Eric-Jan**2103-2112 Extending the long-term survivor mixture model with random effects for clustered survival data***by*Lai, Xin & Yau, Kelvin K.W.**2113-2127 James-Stein shrinkage to improve k-means cluster analysis***by*Gao, Jinxin & Hitchcock, David B.**2128-2144 A variance shift model for detection of outliers in the linear mixed model***by*Gumedze, Freedom N. & Welham, Sue J. & Gogel, Beverley J. & Thompson, Robin**2145-2158 Bayesian analysis of semiparametric reproductive dispersion mixed-effects models***by*Chen, Xue-Dong & Tang, Nian-Sheng**2159-2171 Small area estimation using a nonparametric model-based direct estimator***by*Salvati, Nicola & Chandra, Hukum & Giovanna Ranalli, M. & Chambers, Ray**2172-2186 Semiparametric Bayes hierarchical models with mean and variance constraints***by*Yang, Mingan & Dunson, David B. & Baird, Donna**2187-2201 On the measure and the estimation of evenness and diversity***by*Ginebra, Josep & Puig, Xavier

### 2010, Volume 54, Issue 8

**1895-1905 Testing and estimation of purely nonparametric effects in repeated measures designs***by*Konietschke, F. & Bathke, A.C. & Hothorn, L.A. & Brunner, E.**1906-1920 D-optimality of unequal versus equal cluster sizes for mixed effects linear regression analysis of randomized trials with clusters in one treatment arm***by*Candel, Math J.J.M. & Van Breukelen, Gerard J.P.**1921-1929 A Bayesian MCMC approach to survival analysis with doubly-censored data***by*Yu, Binbing**1930-1941 A computational strategy for doubly smoothed MLE exemplified in the normal mixture model***by*Seo, Byungtae & Lindsay, Bruce G.**1942-1951 Goodness-of-fit tests for the error distribution in nonparametric regression***by*Heuchenne, Cédric & Van Keilegom, Ingrid**1952-1961 An analysis of three-level orthogonal saturated designs***by*Chen, Ying & Chan, Chi Kin & Leung, Bartholomew P.K.**1962-1974 Bayesian analysis for outliers in survey sampling***by*Unnikrishnan, N.K.**1975-1982 On sufficient dimension reduction for proportional censorship model with covariates***by*Wen, Xuerong Meggie**1983-1998 Data-driven smooth tests for the martingale difference hypothesis***by*Escanciano, Juan Carlos & Mayoral, Silvia**1999-2011 A clipped latent variable model for spatially correlated ordered categorical data***by*Higgs, Megan Dailey & Hoeting, Jennifer A.**2012-2020 Bayesian classification for bivariate normal gene expression***by*Ramos, Sandra & Amaral Turkman, Antónia & Antunes, Marília**2021-2034 A new skew generalization of the normal distribution: Properties and applications***by*García, V.J. & Gómez-Déniz, E. & Vázquez-Polo, F.J.**2035-2045 Nonparametric k-sample test based on kernel density estimator for paired design***by*Martínez-Camblor, Pablo**2046-2051 Familial database search on two-person mixture***by*Chung, Yuk-Ka & Fung, Wing K. & Hu, Yue-Qing

### 2010, Volume 54, Issue 7

**1707-1718 Fast kernel conditional density estimation: A dual-tree Monte Carlo approach***by*Holmes, Michael P. & Gray, Alexander G. & Isbell Jr., Charles Lee**1719-1731 A path sampling identity for computing the Kullback-Leibler and J divergences***by*Lefebvre, Geneviève & Steele, Russell & Vandal, Alain C.**1732-1743 Prediction for Pareto distribution based on progressively Type-II censored samples***by*Raqab, Mohammad Z. & Asgharzadeh, A. & Valiollahi, R.**1744-1755 Fisher scoring: An interpolation family and its Monte Carlo implementations***by*Wang, Yong**1756-1765 Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables***by*Wong, Tzu-Tsung**1766-1776 Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs***by*Priebe, Carey E. & Park, Youngser & Marchette, David J. & Conroy, John M. & Grothendieck, John & Gorin, Allen L.**1777-1790 Statistical inference on attributed random graphs: Fusion of graph features and content***by*Grothendieck, John & Priebe, Carey E. & Gorin, Allen L.**1791-1807 Prediction of multivariate responses with a selected number of principal components***by*Koch, Inge & Naito, Kanta**1808-1816 Multiple imputation method for the semiparametric accelerated failure time mixture cure model***by*Xu, Linzhi & Zhang, Jiajia**1817-1823 Regression analysis of clustered interval-censored failure time data with informative cluster size***by*Zhang, Xinyan & Sun, Jianguo**1824-1839 Bayesian skew selection for multivariate models***by*Panagiotelis, Anastasios & Smith, Michael**1840-1857 Series of randomized complete block experiments with non-normal data***by*Bathke, Arne C. & Harrar, Solomon W. & Wang, Haiyan & Zhang, Ke & Piepho, Hans-Peter**1858-1871 Factorial and reduced K-means reconsidered***by*Timmerman, Marieke E. & Ceulemans, Eva & Kiers, Henk A.L. & Vichi, Maurizio**1872-1880 Goodness-of-fit tests for modeling longitudinal ordinal data***by*Lin, Kuo-Chin**1881-1893 An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA***by*Kherad-Pajouh, Sara & Renaud, Olivier

### 2010, Volume 54, Issue 6

**1419-1425 Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs***by*Yu, Yaming**1426-1433 Obtaining more information from conjoint experiments by best-worst choices***by*Vermeulen, Bart & Goos, Peter & Vandebroek, Martina**1434-1441 Accurate estimation with one order statistic***by*Glen, Andrew G.**1442-1456 An active set algorithm to estimate parameters in generalized linear models with ordered predictors***by*Rufibach, Kaspar**1457-1466 Simplified modeling strategies for surrogate validation with multivariate failure-time data***by*Cortiñas Abrahantes, José & Burzykowski, Tomasz**1467-1474 An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model***by*Xu, Linzhi & Zhang, Jiajia**1475-1483 Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval***by*Jamshidian, Mortaza & Liu, Wei & Bretz, Frank**1484-1504 Optimized fixed-size kernel models for large data sets***by*De Brabanter, K. & De Brabanter, J. & Suykens, J.A.K. & De Moor, B.**1505-1515 Optimized U-type designs on flexible regions***by*Lin, D.K.J. & Sharpe, C. & Winker, P.**1516-1524 Binary trees for dissimilarity data***by*Piccarreta, Raffaella**1525-1534 Unified computational methods for regression analysis of zero-inflated and bound-inflated data***by*Yang, Yan & Simpson, Douglas**1535-1546 Ensemble classification based on generalized additive models***by*De Bock, Koen W. & Coussement, Kristof & Van den Poel, Dirk**1547-1558 Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data***by*Kundu, Debasis & Howlader, Hatem**1559-1569 An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring***by*Nandi, Swagata & Dewan, Isha**1570-1580 The aggregate association index***by*Beh, Eric J.**1581-1591 Parameter estimations for generalized exponential distribution under progressive type-I interval censoring***by*Chen, D.G. & Lio, Y.L.**1592-1604 Testing for two components in a switching regression model***by*Dannemann, Jörn & Holzmann, Hajo**1605-1612 A cluster analysis selection strategy for supersaturated designs***by*Li, Peng & Zhao, Shengli & Zhang, Runchu**1613-1621 Estimation of Kendall's tau from censored data***by*Hsieh, Jin-Jian**1622-1633 A Bayesian solution to the multivariate Behrens-Fisher problem***by*Ramos, Patrícia de Siqueira & Ferreira, Daniel Furtado**1634-1645 A control chart based on likelihood ratio test for detecting patterned mean and variance shifts***by*Zhou, Qin & Luo, Yunzhao & Wang, Zhaojun**1646-1656 Incorporating historical control information into quantal bioassay with Bayesian approach***by*Chen, D.G.**1657-1671 Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion***by*Wheeler, David C. & Hickson, DeMarc A. & Waller, Lance A.**1672-1682 Distance-based tree models for ranking data***by*Lee, Paul H. & Yu, Philip L.H.**1683-1695 A comparative study of robust designs for M-estimated regression models***by*Wiens, Douglas P. & Wu, Eden K.H.**1696-1706 Testing, monitoring, and dating structural changes in exchange rate regimes***by*Zeileis, Achim & Shah, Ajay & Patnaik, Ila

### 2010, Volume 54, Issue 5

**1197-1205 The Bayesian Additive Classification Tree applied to credit risk modelling***by*Zhang, Junni L. & Härdle, Wolfgang K.**1206-1218 Bayesian estimation of random effects models for multivariate responses of mixed data***by*Wagner, Helga & Tüchler, Regina**1219-1233 k-mean alignment for curve clustering***by*Sangalli, Laura M. & Secchi, Piercesare & Vantini, Simone & Vitelli, Valeria**1234-1246 Score tests for overdispersion in zero-inflated Poisson mixed models***by*Yang, Zhao & Hardin, James W. & Addy, Cheryl L.**1247-1265 Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications***by*Lee, Namgil & Kim, Jong-Min**1266-1280 Influence analyses of skew-normal/independent linear mixed models***by*Zeller, Camila B. & Labra, Filidor V. & Lachos, Victor H. & Balakrishnan, N.**1281-1287 Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme***by*Rahardja, Dewi & Young, Dean M.**1288-1306 Model selection with the Loss Rank Principle***by*Hutter, Marcus & Tran, Minh-Ngoc**1307-1316 Improved likelihood inference in Birnbaum-Saunders regressions***by*Lemonte, Artur J. & Ferrari, Silvia L.P. & Cribari-Neto, Francisco**1317-1327 Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution***by*Bingham, Melissa A. & Nordman, Daniel J. & Vardeman, Stephen B.**1328-1341 ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors***by*Wang, Wan-Lun & Fan, Tsai-Hung**1342-1354 Using earlier measures in a longitudinal sequence as a potential surrogate for a later one***by*Pryseley, Assam & Tilahun, Abel & Alonso, Ariel & Molenberghs, Geert**1355-1371 Data-driven neighborhood selection of a Gaussian field***by*Verzelen, Nicolas**1372-1380 One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity***by*Wu, Shu-Fei & Lin, Ying-Po & Yu, Yuh-Ru**1381-1389 Entropy coefficient of determination for generalized linear models***by*Eshima, Nobuoki & Tabata, Minoru**1390-1403 Pattern recognition via projection-based kNN rules***by*Fraiman, Ricardo & Justel, Ana & Svarc, Marcela**1404-1404 Erratum to: "Confidence intervals for quantiles using generalized lambda distributions" [Comput. Statist. Data Anal. 53 (2009) 3324-3333]***by*Su, Steve**1405-1418 Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data***by*Pleydell, David R.J. & Chrétien, Stéphane

### 2010, Volume 54, Issue 4

**803-803 On the Use of the Terms Repeatability and Reproducibility Regarding "Reproducibility of genotypes as measured by the Affymetrix GeneChip(R) 100Â K Human Mapping Array Set" by Fridley and colleagues (2008) Comput. Stat. Data Anal. 52:5367-74***by*Vonthein, Reinhard & Ziegler, Andreas**804-805 Comparing two independent samples using the risk difference under inverse sampling***by*Röhmel, Joachim**806-815 Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs***by*Hines, R.J. O'Hara & Hines, W.G.S.**816-832 Bayesian density estimation and model selection using nonparametric hierarchical mixtures***by*Argiento, Raffaele & Guglielmi, Alessandra & Pievatolo, Antonio**833-842 A goodness of fit test for the Pareto distribution in the presence of Type II censoring, based on the cumulative hazard function***by*Saldaña-Zepeda, Dayna P. & Vaquera-Huerta, Humberto & Arnold, Barry C.**843-857 RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator***by*Schyns, M. & Haesbroeck, G. & Critchley, F.**858-862 Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods***by*Duchesne, Pierre & Lafaye De Micheaux, Pierre**863-874 Shewhart-type control charts for variation in phase I data analysis***by*Human, S.W. & Chakraborti, S. & Smit, C.F.**875-890 Robust designs for generalized linear models with possible overdispersion and misspecified link functions***by*Adewale, Adeniyi J. & Xu, Xiaojian**891-905 Penalized spline estimation for functional coefficient regression models***by*Cao, Yanrong & Lin, Haiqun & Wu, Tracy Z. & Yu, Yan**906-915 Inferences on the common mean of several inverse Gaussian populations***by*Ye, Ren-Dao & Ma, Tie-Feng & Wang, Song-Gui**916-923 Allowing for the effect of data binning in a Bayesian Normal mixture model***by*Alston, C.L. & Mengersen, K.L.**924-934 Estimating turning points of the failure rate of the extended Weibull distribution***by*Gupta, Ramesh C. & Lvin, Sergey & Peng, Cheng**935-944 A new distribution with decreasing, increasing and upside-down bathtub failure rate***by*Silva, Rodrigo B. & Barreto-Souza, Wagner & Cordeiro, Gauss M.**945-957 The beta generalized half-normal distribution***by*Pescim, Rodrigo R. & Demétrio, Clarice G.B. & Cordeiro, Gauss M. & Ortega, Edwin M.M. & Urbano, Mariana R.**958-965 Test of fit for a Laplace distribution against heavier tailed alternatives***by*Gel, Yulia R.**966-975 Robust online signal extraction from multivariate time series***by*Lanius, Vivian & Gather, Ursula**976-986 A sparse eigen-decomposition estimation in semiparametric regression***by*Zhu, Li-Ping & Yu, Zhou & Zhu, Li-Xing**987-1001 Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models***by*Ramalho, Esmeralda A. & Ramalho, Joaquim J.S.**1002-1016 Assessment of diagnostic procedures in symmetrical nonlinear regression models***by*Vanegas, Luis Hernando & Cysneiros, Francisco José A.**1017-1035 The log-exponentiated Weibull regression model for interval-censored data***by*Hashimoto, Elizabeth M. & Ortega, Edwin M.M. & Cancho, Vicente G. & Cordeiro, Gauss M.**1036-1050 Rank regression for analysis of clustered data: A natural induced smoothing approach***by*Fu, Liya & Wang, You-Gan & Bai, Zhidong**1051-1065 Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies***by*Serban, Nicoleta**1066-1078 Unified generalized iterative scaling and its applications***by*Gao, Wei & Shi, Ning-Zhong & Tang, Man-Lai & Fu, Lianyan & Tian, Guoliang**1079-1088 An empirical likelihood-based method for comparison of treatment effects--Test of equality of coefficients in linear models***by*Su, Haiyan & Liang, Hua**1089-1102 Dimension reduction using the generalized gradient direction***by*Zhao, Junlong & Zhao, Xiuli**1103-1108 A simulation study comparing methods for calculating confidence intervals for directly standardized rates***by*Swift, Michael Bruce**1109-1116 A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model***by*Chen, Ling & Sun, Jianguo**1117-1123 A variable selection method in principal canonical correlation analysis***by*Ogura, Toru**1124-1137 Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry***by*Tseng, George C.**1138-1150 Bayesian nonparametric quantile regression using splines***by*Thompson, Paul & Cai, Yuzhi & Moyeed, Rana & Reeve, Dominic & Stander, Julian**1151-1166 Small area estimation with spatial similarity***by*Longford, Nicholas T.**1167-1178 Robust smoothing of gridded data in one and higher dimensions with missing values***by*Garcia, Damien**1179-1189 Modeling epigenetic modifications under multiple treatment conditions***by*Wang, Dong**1190-1196 Polynomial Trendline function flaws in Microsoft Excel***by*Hargreaves, Bruce R. & McWilliams, Thomas P.

### 2010, Volume 54, Issue 3

**609-610 Second special issue on statistical algorithms and software***by*Gatu, Cristian & McCullough, B.D.**611-619 hsmm -- An R package for analyzing hidden semi-Markov models***by*Bulla, Jan & Bulla, Ingo & Nenadic, Oleg**620-624 A note on an iterative algorithm for nonparametric estimation in biased sampling models***by*Davidov, Ori & Iliopoulos, George**625-636 Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications***by*Escanciano, Juan Carlos & Jacho-Chávez, David T.**637-654 Using combinatorial optimization in model-based trimmed clustering with cardinality constraints***by*Gallegos, María Teresa & Ritter, Gunter**655-667 Finding approximate solutions to combinatorial problems with very large data sets using BIRCH***by*Harrington, Justin & Salibián-Barrera, Matias**668-687 Mining and visualising ordinal data with non-parametric continuous BBNs***by*Hanea, A.M. & Kurowicka, D. & Cooke, R.M. & Ababei, D.A.**688-697 Distributed evolutionary Monte Carlo for Bayesian computing***by*Hu, Bo & Tsui, Kam-Wah**698-710 On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation***by*Iacobucci, Alessandra & Marin, Jean-Michel & Robert, Christian**711-723 Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models***by*McNicholas, P.D. & Murphy, T.B. & McDaid, A.F. & Frost, D.**724-731 Implementing Bayesian predictive procedures: The K-prime and K-square distributions***by*Poitevineau, Jacques & Lecoutre, Bruno