Papers Articles Authors Institutions Data (FRED®)

Elsevier

Computational Statistics & Data Analysis

Download restrictions: Full text for ScienceDirect subscribers only.
Editor:
For corrections or technical questions regarding this series, please contact (Wendy Shamier)
Series handle: repec:eee:csdana
Citations RSS feed: at CitEc
Impact factors: Simple, Recursive, Discounted, Recursive discounted, H-Index, Aggregate
Access and download statistics
Top item: By citations. By downloads (last 12 months).

More pages of listings: 0| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17| 18| 19| 20| 21

2009, Volume 53, Issue 12

• 4018-4027 Recurrence relations for bivariate t and extended skew-t distributions and an application to order statistics from bivariate t
  by Jamalizadeh, A. & Mehrali, Y. & Balakrishnan, N.
• 4028-4045 Estimating Bayes factors via thermodynamic integration and population MCMC
  by Calderhead, Ben & Girolami, Mark
• 4046-4072 Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography
  by Rokach, Lior
• 4073-4082 Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data
  by Ghosh, Pulak & Huang, Lan & Yu, Binbing & Tiwari, Ram C.
• 4083-4094 On progressively censored competing risks data for Weibull distributions
  by Pareek, Bhuvanesh & Kundu, Debasis & Kumar, Sumit
• 4095-4105 Robust testing in the logistic regression model
  by Bianco, Ana M. & Martínez, Elena
• 4106-4115 Longitudinal data analysis using sufficient dimension reduction method
  by Li, Lexin & Yin, Xiangrong
• 4116-4125 Efficient Bayesian estimation of multivariate state space models
  by Strickland, Chris M. & Turner, Ian. W. & Denham, Robert & Mengersen, Kerrie L.
• 4126-4132 Confidence bands for the CDF when sampling from a finite population
  by Frey, Jesse
• 4133-4142 Maximum likelihood estimation in vector long memory processes via EM algorithm
  by Pai, Jeffrey & Ravishanker, Nalini
• 4143-4156 Influence diagnostics in nonlinear mixed-effects elliptical models
  by Russo, Cibele M. & Paula, Gilberto A. & Aoki, Reiko
• 4157-4167 A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data
  by Liu, Qin & Cook, Nancy R. & Bergström, Anna & Hsieh, Chung-Cheng
• 4168-4177 Optimal expectile smoothing
  by Schnabel, Sabine K. & Eilers, Paul H.C.
• 4178-4185 Estimation of a common slope in a gamma regression model with multiple strata: An empirical Bayes method
  by Minoda, Yuta & Yanagimoto, Takemi
• 4186-4197 Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data
  by Li, Jialiang & Xia, Yingcun & Palta, Mari & Shankar, Anoop
• 4198-4209 Bayesian binary kernel probit model for microarray based cancer classification and gene selection
  by Chakraborty, Sounak
• 4210-4220 Comparison of p control charts for low defective rate
  by Wang, Hsiuying
• 4221-4227 Bootstrapping least distance estimator in the multivariate regression model
  by Jhun, Myoungshic & Choi, Inkyung
• 4228-4242 Distribution-preserving statistical disclosure limitation
  by Woodcock, Simon D. & Benedetto, Gary
• 4243-4254 L2E estimation of mixture complexity for count data
  by Umashanger, T. & Sriram, T.N.
• 4255-4265 Objective parametric model selection procedures from a Bayesian nonparametric perspective
  by Gutiérrez-Peña, Eduardo & Rueda, Raúl & Contreras-Cristán, Alberto
• 4266-4278 Homogeneity tests for several Poisson populations
  by Chiu, Sung Nok & Wang, Ling
• 4279-4289 Nonparametric linear tests with multiple events
  by Pinçon, Claire & Pons, Odile
• 4290-4300 A permutation test for determining significance of clusters with applications to spatial and gene expression data
  by Park, P.J. & Manjourides, J. & Bonetti, M. & Pagano, M.
• 4301-4310 Penalized factor mixture analysis for variable selection in clustered data
  by Galimberti, Giuliano & Montanari, Angela & Viroli, Cinzia
• 4311-4321 A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean
  by McGrory, C.A. & Pettitt, A.N. & Faddy, M.J.
• 4322-4331 Statistical inference for doubly stochastic multichannel Poisson processes: A PCA approach
  by Fernández-Alcalá, R.M. & Navarro-Moreno, J. & Ruiz-Molina, J.C.
• 4332-4344 Cusum techniques for timeslot sequences with applications to network surveillance
  by Jeske, Daniel R. & Montes De Oca, Veronica & Bischoff, Wolfgang & Marvasti, Mazda
• 4345-4357 On shortest prediction intervals in log-Gaussian random fields
  by De Oliveira, Victor & Rui, Changxiang
• 4358-4369 Conditional confidence intervals for classification error rate
  by Chung, Hie-Choon & Han, Chien-Pai
• 4370-4383 Nonparametric estimation of the threshold at an operating point on the ROC curve
  by Yousef, Waleed A. & Kundu, Subrata & Wagner, Robert F.
• 4384-4402 Spatial multi-taper spectrum estimation for nuclear reactor modelling
  by Scarrott, C.J. & Tunnicliffe Wilson, G.
• 4403-4416 Diagnostics for skew-normal nonlinear regression models with AR(1) errors
  by Xie, Feng-Chang & Lin, Jin-Guan & Wei, Bo-Cheng
• 4417-4432 Semiparametric analysis of survival data with left truncation and right censoring
  by Shen, Pao-sheng
• 4433-4440 On some lifetime distributions with decreasing failure rate
  by Chahkandi, M. & Ganjali, M.
• 4441-4452 Birnbaum-Saunders nonlinear regression models
  by Lemonte, Artur J. & Cordeiro, Gauss M.
• 4453-4470 Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations
  by Peltonen, Jaakko & Venna, Jarkko & Kaski, Samuel
• 4471-4481 A new class of spatial concentration measures
  by Arbia, Giuseppe & Piras, Gianfranco
• 4482-4489 A log-extended Weibull regression model
  by Silva, Giovana O. & Ortega, Edwin M.M. & Cordeiro, Gauss M.
• 4490-4499 Modified fast double sieve bootstraps for ADF tests
  by Richard, Patrick
• 4500-4507 A procedure for robust fitting in nonlinear regression
  by Hawkins, Douglas M. & Khan, Dost Muhammad
• 4508-4515 Clustering rows and/or columns of a two-way contingency table and a related distribution theory
  by Hirotsu, C.
• 4516-4529 Testing for independence in heavy-tailed time series using the codifference function
  by Rosadi, Dedi
• 4530-4545 Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output
  by Chan, Jennifer S.K. & Leung, Doris Y.P. & Boris Choy, S.T. & Wan, Wai Y.
• 4546-4554 Generalised Procrustes Analysis with optimal scaling: Exploring data from a power supplier
  by Wieringa, Jaap & Dijksterhuis, Garmt & Gower, John & van Perlo, Frederieke
• 4555-4569 On multivariate order statistics. Application to ranked set sampling
  by Arnold, Barry C. & Castillo, Enrique & María Sarabia, José
• 4570-4583 A Bayesian analysis of dual autoradiographic images
  by Johnson, Timothy D. & Piert, Morand
• 4584-4589 Economical generalized neighbor designs for use in Serology
  by Ahmed, Rashid & Akhtar, Munir & Tahir, M.H.
• 4590-4600 Negative binomial mixed models for analysis of stuttering rates
  by Jones, Mark & Dobson, Annette & Onslow, Mark & Carey, Brenda

2009, Volume 53, Issue 11

• 3735-3745 Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
  by Kim, Ji-Hyun
• 3746-3754 Bayesian multiscale feature detection of log-spectral densities
  by Sørbye, Sigrunn H. & Hindberg, Kristian & Olsen, Lena R. & Rue, Håvard
• 3755-3764 Confidence interval estimation for lognormal data with application to health economics
  by Zou, Guang Yong & Taleban, Julia & Huo, Cindy Y.
• 3765-3772 Bayesian model checking for multivariate outcome data
  by Crespi, Catherine M. & Boscardin, W. John
• 3773-3786 A Bayesian regression model for multivariate functional data
  by Rosen, Ori & Thompson, Wesley K.
• 3787-3794 Influence analysis with homogeneous linear restrictions
  by Vasconcellos, Klaus L.P. & Zea Fernandez, L.M.
• 3795-3804 Multivariate trees for mixed outcomes
  by Dine, Abdessamad & Larocque, Denis & Bellavance, François
• 3805-3816 Parameter estimation in a model for misclassified Markov data -- a Bayesian approach
  by Rosychuk, Rhonda J. & Shofiqul Islam
• 3817-3834 Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions
  by Chiu, Sung Nok & Liu, Kwong Ip
• 3835-3841 A bootstrap goodness of fit test for the generalized Pareto distribution
  by Villaseñor-Alva, José A. & González-Estrada, Elizabeth
• 3842-3854 Smoothing sample extremes: The mixed model approach
  by Laurini, Fabrizio & Pauli, Francesco
• 3855-3863 Principal component regression for data containing outliers and missing elements
  by Serneels, Sven & Verdonck, Tim
• 3864-3871 Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data
  by Shih, Joanna H. & Lu, Shou-En
• 3872-3882 Variable selection in model-based clustering: A general variable role modeling
  by Maugis, C. & Celeux, G. & Martin-Magniette, M.-L.
• 3883-3891 A generalized Shapiro-Wilk W statistic for testing high-dimensional normality
  by Liang, Jiajuan & Tang, Man-Lai & Chan, Ping Shing
• 3892-3906 Spatial prediction of ozone concentration profiles
  by Temiyasathit, Chivalai & Kim, Seoung Bum & Park, Sun-Kyoung

2009, Volume 53, Issue 10

• 3533-3552 Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior
  by Scheipl, Fabian & Kneib, Thomas
• 3553-3559 Generating inverse Gaussian random variates by approximation
  by Lai, Yongzeng
• 3560-3570 Expected values of the number of failures for two populations under joint Type-II progressive censoring
  by Parsi, Safar & Bairamov, Ismihan
• 3571-3579 Fast indirect robust generalized method of moments
  by Loisel, Sébastien & Takane, Marina
• 3580-3592 Estimation for the three-parameter lognormal distribution based on progressively censored data
  by Basak, Prasanta & Basak, Indrani & Balakrishnan, N.
• 3593-3600 A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect
  by Pérez, Ana & Ruiz, Esther & Veiga, Helena
• 3601-3615 Multiclass classification and gene selection with a stochastic algorithm
  by Lê Cao, Kim-Anh & Bonnet, Agnès & Gadat, Sébastien
• 3616-3629 Spline smoothing in small area trend estimation and forecasting
  by Ugarte, M.D. & Goicoa, T. & Militino, A.F. & Durbán, M.
• 3630-3639 Group sequential testing of homogeneity in genetic linkage analysis
  by Cui, Yin & Fu, Yuejiao & Hussein, Abdulkadir
• 3640-3649 The choice of the number of bins for the M statistic
  by White, Laura Forsberg & Bonetti, Marco & Pagano, Marcello
• 3650-3658 A note on interval estimation of P(X
  by Wong, Augustine C.M. & Wu, Yan Yan
• 3659-3670 On estimation based on progressive first-failure-censored sampling
  by Wu, Shuo-Jye & Kus, Coskun
• 3671-3684 Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models
  by Fu, Ying-Zi & Tang, Nian-Sheng & Chen, Xing
• 3685-3695 A flexible approximate likelihood ratio test for detecting differential expression in microarray data
  by Hossain, Ahmed & Beyene, Joseph & Willan, Andrew R. & Hu, Pingzhao
• 3696-3705 Quantile regression without the curse of unsmoothness
  by Wang, You-Gan & Shao, Quanxi & Zhu, Min
• 3706-3716 Robust probabilistic PCA with missing data and contribution analysis for outlier detection
  by Chen, Tao & Martin, Elaine & Montague, Gary
• 3717-3725 A generalized Waring regression model for count data
  by Rodríguez-Avi, J. & Conde-Sánchez, A. & Sáez-Castillo, A.J. & Olmo-Jiménez, M.J. & Martínez-Rodríguez, A.M.
• 3726-3733 Maximum likelihood kernel density estimation: On the potential of convolution sieves
  by Jones, M.C. & Henderson, D.A.

2009, Volume 53, Issue 9

• 3259-3270 Escaping RGBland: Selecting colors for statistical graphics
  by Zeileis, Achim & Hornik, Kurt & Murrell, Paul
• 3271-3280 Inference on exponential families with mixture of prior distributions
  by Rufo, M.J. & Martín, J. & Pérez, C.J.
• 3281-3290 Exact computation of the null distribution of a test for multiple outliers in an exponential sample
  by Lin, Chien-Tai & Balakrishnan, N.
• 3291-3304 The geometry of time-varying cross-correlation random fields
  by Carbonell, F. & Worsley, K.J. & Trujillo-Barreto, N.J. & Vega-Hernandez, M.
• 3305-3313 Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions
  by Saha, Krishna K. & Bilisoly, Roger
• 3314-3323 Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome
  by Tian, Guo-Liang & Ng, Kai Wang & Li, Kai-Can & Tan, Ming
• 3324-3333 Confidence intervals for quantiles using generalized lambda distributions
  by Su, Steve
• 3334-3343 Effects of ignoring baseline on modeling transitions from intact cognition to dementia
  by Yu, Lei & Tyas, Suzanne L. & Snowdon, David A. & Kryscio, Richard J.
• 3344-3357 Non-parametric k-sample tests: Density functions vs distribution functions
  by Martínez-Camblor, Pablo & de Uña-Álvarez, Jacobo
• 3358-3371 Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model
  by Gosoniu, L. & Vounatsou, P. & Sogoba, N. & Maire, N. & Smith, T.
• 3372-3385 Surveillance of the covariance matrix based on the properties of the singular Wishart distribution
  by Bodnar, Olha & Bodnar, Taras & Okhrin, Yarema
• 3386-3396 A non-parametric iterative smoothing method for benchmarking and temporal distribution
  by Quenneville, B. & Fortier, S. & Gagné, C.
• 3397-3411 The distribution of Pearson residuals in generalized linear models
  by Cordeiro, Gauss M. & Simas, Alexandre B.
• 3412-3425 Statistical computation and analyses for attribute events
  by Liu, Yafen & He, Zhen & Shu, Lianjie & Wu, Zhang
• 3426-3438 Integral distribution-free statistics of Lp-type and their asymptotic comparison
  by Henze, Norbert & Nikitin, Yakov & Ebner, Bruno
• 3439-3451 Estimation and hypothesis testing in BIB design and robustness
  by Tiku, Moti L. & Senoglu, Birdal
• 3452-3465 Structural components in functional data
  by Park, Juhyun & Gasser, Theo & Rousson, Valentin
• 3466-3477 Empirical likelihood based diagnostics for heteroscedasticity in partial linear models
  by Wong, Heung & Liu, Feng & Chen, Min & Ip, Wai Cheung
• 3478-3489 Score tests for zero-inflated generalized Poisson mixed regression models
  by Xie, Feng-Chang & Wei, Bo-Cheng & Lin, Jin-Guan
• 3490-3501 Additive models in censored regression
  by de Uña Álvarez, Jacobo & Roca Pardiñas, Javier
• 3502-3515 Executives' perceived environmental uncertainty shortly after 9/11
  by Soofi, E.S. & Nystrom, P.C. & Yasai-Ardekani, M.
• 3516-3531 A neuro-computational intelligence analysis of the ecological footprint of nations
  by Mostafa, Mohamed M. & Nataraajan, Rajan

2009, Volume 53, Issue 8

• 2781-2785 Spatial statistics: Methods, models & computation
  by LeSage, James & Banerjee, Sudipto & Fischer, Manfred M. & Congdon, Peter
• 2786-2808 Overall and pairwise segregation tests based on nearest neighbor contingency tables
  by Ceyhan, Elvan
• 2809-2816 Summary statistics for measuring the relationship among three types of points in multivariate point patterns
  by Wu, Liu-Cang & Li, Hui-Qiong
• 2817-2830 Surveillance to detect emerging space-time clusters
  by Assuno, Renato & Correa, Thais
• 2831-2842 Approximate methods in Bayesian point process spatial models
  by Hossain, Md. Monir & Lawson, Andrew B.
• 2843-2850 A flexible spatial scan test for case event data
  by Cucala, Lionel
• 2851-2858 Spatial scan statistics in loglinear models
  by Zhang, Tonglin & Lin, Ge
• 2859-2872 Power calculations for global and local Moran's
  by Bivand, Roger & Müller, Werner G. & Reder, Markus
• 2873-2884 Improving the performance of predictive process modeling for large datasets
  by Finley, Andrew O. & Sang, Huiyan & Banerjee, Sudipto & Gelfand, Alan E.
• 2885-2896 Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields
  by Bolin, David & Lindström, Johan & Eklundh, Lars & Lindgren, Finn
• 2897-2922 Testing for heteroskedasticity and spatial correlation in a random effects panel data model
  by Baltagi, Badi H. & Song, Seuck Heun & Kwon, Jae Hyeok
• 2923-2937 Modelling small area counts in the presence of overdispersion and spatial autocorrelation
  by Haining, Robert & Law, Jane & Griffith, Daniel
• 2938-2949 Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping
  by Ugarte, M.D. & Goicoa, T. & Militino, A.F.
• 2950-2967 On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling
  by MacNab, Ying C. & Lin, Yi
• 2968-2979 Smooth-CAR mixed models for spatial count data
  by Lee, Dae-Jin & Durbán, María
• 2980-2988 An O(N) parallel method of computing the Log-Jacobian of the variable transformation for models with spatial interaction on a lattice
  by Smirnov, Oleg A. & Anselin, Luc E.
• 2989-3000 Spatial-temporal association between fine particulate matter and daily mortality
  by Choi, Jungsoon & Fuentes, Montserrat & Reich, Brian J.
• 3001-3015 Spatiotemporal and spatial threshold models for relating UV exposures and skin cancer in the central United States
  by Hatfield, Laura A. & Hoffbeck, Richard W. & Alexander, Bruce H. & Carlin, Bradley P.
• 3016-3032 Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models
  by Kang, Emily L. & Liu, Desheng & Cressie, Noel
• 3033-3046 A stochastic neighborhood conditional autoregressive model for spatial data
  by White, Gentry & Ghosh, Sujit K.
• 3047-3056 Modelling the impact of socioeconomic structure on spatial health outcomes
  by Congdon, Peter
• 3057-3069 Spatial latent class analysis model for spatially distributed multivariate binary data
  by Wall, Melanie M. & Liu, Xuan
• 3070-3081 Spatial point process models for location-allocation problems
  by Bonneu, Florent & Thomas-Agnan, Christine
• 3082-3093 CART algorithm for spatial data: Application to environmental and ecological data
  by Bel, L. & Allard, D. & Laurent, J.M. & Cheddadi, R. & Bar-Hen, A.
• 3094-3102 Identification of differentially expressed spatial clusters using humoral response microarray data
  by Wu, Jincao & Patwa, Tasneem H. & Lubman, David M. & Ghosh, Debashis
• 3103-3106 Special issue on correspondence analysis and related methods
  by Blasius, J. & Greenacre, M. & Groenen, P.J.F. & van de Velden, M.
• 3107-3116 Power transformations in correspondence analysis
  by Greenacre, Michael
• 3117-3128 Two types of single-peaked data: Correspondence analysis as an alternative to principal component analysis
  by Polak, Marike & Heiser, Willem J. & de Rooij, Mark
• 3129-3138 Seriation by constrained correspondence analysis: A simulation study
  by van de Velden, Michel & Groenen, Patrick J.F. & Poblome, Jeroen
• 3139-3144 Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution
  by Warrens, Matthijs J. & Heiser, Willem J.
• 3145-3158 Better biplots
  by Blasius, Jörg & Eilers, Paul H.C. & Gower, John
• 3159-3170 Regularized nonsymmetric correspondence analysis
  by Takane, Yoshio & Jung, Sunho
• 3171-3182 Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables
  by Zárraga, A. & Goitisolo, B.
• 3183-3193 Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering
  by ter Braak, Cajo J.F. & Kourmpetis, Yiannis & Kiers, Henk A.L. & Bink, Marco C.A.M.
• 3194-3208 Clustering and disjoint principal component analysis
  by Vichi, Maurizio & Saporta, Gilbert
• 3209-3216 Trend vector models for the analysis of change in continuous time for multiple groups
  by de Rooij, Mark
• 3217-3230 A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences
  by DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J.
• 3231-3244 A dual latent class unfolding model for two-way two-mode preference rating data
  by Vera, J. Fernando & Macas, Rodrigo & Heiser, Willem J.
• 3245-3246 Book review
  by Caussinus, Henri
• 3247-3248 Book review
  by Reed, Ken
• 3249-3251 Book review
  by le Roux, Nil J.
• 3252-3255 Book review
  by de Falguerolles, Antoine
• 3256-3257 Book review
  by Lebart, Ludovic

2009, Volume 53, Issue 7

• 2439-2445 Importance partitioning in micro-aggregation
  by Kokolakis, G. & Fouskakis, D.
• 2446-2452 How accurate are the extremely small P-values used in genomic research: An evaluation of numerical libraries
  by Santosh Bangalore, Sai & Wang, Jelai & Allison, David B.
• 2453-2464 Boosting nonlinear additive autoregressive time series
  by Shafik, Nivien & Tutz, Gerhard
• 2465-2470 An algorithm for constructing mixed-level k-circulant supersaturated designs
  by Liu, Min-Qian & Zhang, Li
• 2471-2484 Sharp quadratic majorization in one dimension
  by de Leeuw, Jan & Lange, Kenneth
• 2485-2499 Maintenance of fast updated frequent pattern trees for record deletion
  by Hong, Tzung-Pei & Lin, Chun-Wei & Wu, Yu-Lung
• 2500-2510 Computing zonoid trimmed regions of dimension d>2
  by Mosler, Karl & Lange, Tatjana & Bazovkin, Pavel
• 2511-2523 Constant-partially accelerated life tests for Burr type-XII distribution with progressive type-II censoring
  by Abdel-Hamid, Alaa H.
• 2524-2536 A smoothed bootstrap test for independence based on mutual information
  by Wu, Edmond H.C. & Yu, Philip L.H. & Li, W.K.
• 2537-2549 Shrinkage estimation in general linear models
  by An, Lihua & Nkurunziza, Sévérien & Fung, Karen Y. & Krewski, Daniel & Luginaah, Isaac
• 2550-2562 Generalized profiling estimation for global and adaptive penalized spline smoothing
  by Cao, Jiguo & Ramsay, James O.
• 2563-2572 Mixture modeling with applications in schizophrenia research
  by Wu, Qiang & Sampson, Allan R.
• 2573-2582 Improved testing inference in mixed linear models
  by Melo, Tatiane F.N. & Ferrari, Silvia L.P. & Cribari-Neto, Francisco
• 2583-2595 An improved approximation to the precision of fixed effects from restricted maximum likelihood
  by Kenward, Michael G. & Roger, James H.
• 2596-2604 Variance estimation of survey estimates calibrated on estimated control totals--An application to the extended regression estimator and the regression composite estimator
  by Berger, Yves G. & Muñoz, Juan F. & Rancourt, Eric
• 2605-2616 Comparing measures of model selection for penalized splines in Cox models
  by Malloy, Elizabeth J. & Spiegelman, Donna & Eisen, Ellen A.
• 2617-2627 Bayesian estimation and variable selection for single index models
  by Wang, Hai-Bin
• 2628-2639 Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order
  by Baíllo, A. & Berrendero, J.R. & Cárcamo, J.
• 2640-2652 Parametric sensitivity: A case study comparison
  by Sulieman, H. & Kucuk, I. & McLellan, P.J.
• 2653-2664 An EWMA chart for monitoring the process standard deviation when parameters are estimated
  by Maravelakis, Petros E. & Castagliola, Philippe
• 2665-2672 Exploiting predictor domain information in sufficient dimension reduction
  by Li, Lexin
• 2673-2692 Semiparametric analysis of randomized response data with missing covariates in logistic regression
  by Hsieh, S.H. & Lee, S.M. & Shen, P.S.
• 2693-2701 Adaptive CUSUM control chart with variable sampling intervals
  by Luo, Yunzhao & Li, Zhonghua & Wang, Zhaojun
• 2702-2709 Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model
  by Wang, Bing Xing
• 2710-2723 Covariate selection in mixture models with the censored response variable
  by Lu, Zeng-Hua
• 2724-2732 Bayesian analysis of two dependent 22 contingency tables
  by Eleftheraki, Anastasia G. & Kateri, Maria & Ntzoufras, Ioannis
• 2733-2739 A comparison of some confidence intervals for the mean quality-adjusted lifetime with censored data
  by Wang, Hongkun & Zhao, Yichuan
• 2740-2746 A latent variable regression model for capture-recapture data
  by Thandrayen, Joanne & Wang, Yan
• 2747-2753 A simple method for screening variables before clustering microarray data
  by Krzanowski, Wojtek J. & Hand, David J.
• 2754-2766 Interval estimation of odds ratio in a stratified randomized clinical trial with noncompliance
  by Lui, Kung-Jong & Chang, Kuang-Chao
• 2767-2779 Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards
  by Ambrogi, Federico & Biganzoli, Elia & Boracchi, Patrizia

2009, Volume 53, Issue 6

• 1923-1924 The fourth special issue on Computational Econometrics
  by Belsley, David A. & Davidson, Russell & Kontoghiorghes, Erricos John & MacKinnon, James G. & van Dijk, Herman K.
• 1925-1939 Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria
  by Ando, Tomohiro
• 1940-1953 Using the bootstrap for finite sample confidence intervals of the log periodogram regression
  by Arteche, Josu & Orbe, Jesus
• 1954-1973 Using subspace algorithm cointegration analysis: Simulation performance and application to the term structure
  by Bauer, Dietmar & Wagner, Martin
• 1974-1992 Efficient importance sampling for ML estimation of SCD models
  by Bauwens, L. & Galli, F.
• 1993-2007 Bayesian causal effects in quantiles: Accounting for heteroscedasticity
  by Chen, Cathy W.S. & Gerlach, Richard & Wei, D.C.M.
• 2008-2021 Finite sample multivariate tests of asset pricing models with coskewness
  by Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda
• 2022-2039 Implied volatility in oil markets
  by Borovkova, Svetlana & Permana, Ferry J.
• 2040-2054 Semiparametric multivariate density estimation for positive data using copulas
  by Bouezmarni, T. & Rombouts, J.V.K.
• 2055-2060 Solving models with inequalities using standard econometric software
  by ten Cate, Arie
• 2061-2074 Multi-step perturbation solution of nonlinear differentiable equations applied to an econometric analysis of productivity
  by Chen, Baoline & Zadrozny, Peter A.
• 2075-2088 The volatility structure of the fixed income market under the HJM framework: A nonlinear filtering approach
  by Chiarella, Carl & Hung, Hing & T, Thuy-Duong
• 2089-2106 Type I and type II fractional Brownian motions: A reconsideration
  by Davidson, James & Hashimzade, Nigar
• 2107-2118 Functional modelling of volatility in the Swedish limit order book
  by Elezovic, Suad
• 2119-2128 New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank
  by Godolphin, J.D.
• 2129-2154 Asymmetric multivariate normal mixture GARCH
  by Haas, Markus & Mittnik, Stefan & Paolella, Marc S.
• 2155-2167 A new approach to bootstrap inference in functional coefficient models
  by Herwartz, H. & Xu, F.
• 2168-2188 The effects of misspecified marginals and copulas on computing the value at risk: A Monte Carlo study
  by Fantazzini, Dean
• 2189-2200 Flexible estimation of wage distributions in the presence of covariates
  by Febrer, Antonia & Mora, Juan
• 2201-2218 Testing volatility autocorrelation in the constant elasticity of variance stochastic volatility model
  by Fig-Talamanca, Gianna
• 2219-2235 Calibration of a path-dependent volatility model: Empirical tests
  by Foschi, Paolo & Pascucci, Andrea

Privacy Legal