Computational Statistics & Data Analysis, Volume 51

Volume 51, Number 1, November 2006

The Fuzzy Approach to Statistical Analysis

• 
  Renato Coppi, María Angeles Gil, Henk A. L. Kiers:
  The fuzzy approach to statistical analysis. 1-14
• 
  Lotfi A. Zadeh:
  Generalized theory of uncertainty (GTU) - principal concepts and ideas. 15-46
• 
  Didier Dubois:
  Possibility theory and statistical reasoning. 47-69
• 
  Hung T. Nguyen, Berlin Wu:
  Random and fuzzy sets in coarse data analysis. 70-85
• 
  Cédric Baudrit, Didier Dubois:
  Practical representations of incomplete probabilistic knowledge. 86-108
• 
  Miguel López-Díaz, Dan A. Ralescu:
  Tools for fuzzy random variables: Embeddings and measurabilities. 109-114
• 
  Giulianella Coletti, Romano Scozzafava:
  Conditional probability and fuzzy information. 115-132
• 
  Reinhard Viertl:
  Univariate statistical analysis with fuzzy data. 133-147
• 
  María Angeles Gil, Manuel Montenegro, Gil González-Rodríguez, Ana Colubi, María Rosa Casals:
  Bootstrap approach to the multi-sample test of means with imprecise data. 148-162
• 
  Gil González-Rodríguez, Ana Colubi, María Angeles Gil:
  A fuzzy representation of random variables: An operational tool in exploratory analysis and hypothesis testing. 163-176
• 
  José D. Bermúdez, José Vicente Segura, Enriqueta Vercher:
  A decision support system methodology for forecasting of time series based on soft computing. 177-191
• 
  Christian Döring, Marie-Jeanne Lesot, Rudolf Kruse:
  Data analysis with fuzzy clustering methods. 192-214
• 
  Richard J. Hathaway, James C. Bezdek:
  Extending fuzzy and probabilistic clustering to very large data sets. 215-234
• 
  Wolfgang Näther:
  Regression with fuzzy random data. 235-252
• 
  Peijun Guo, Hideo Tanaka:
  Dual models for possibilistic regression analysis. 253-266
• 
  Renato Coppi, Pierpaolo D'Urso, Paolo Giordani, Adriana Santoro:
  Least squares estimation of a linear regression model with LR fuzzy response. 267-286
• 
  Pierpaolo D'Urso, Adriana Santoro:
  Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable. 287-313
• 
  Przemyslaw Grzegorzewski:
  The coefficient of concordance for vague data. 314-322
• 
  Olgierd Hryniewicz:
  Goodman-Kruskal gamma. 323-334
• 
  Pierre-Alexandre Hébert, Marie-Hélène Masson, Thierry Denoeux:
  Fuzzy multidimensional scaling. 335-359
• 
  Patrick J. F. Groenen, Suzanne Winsberg, O. Rodríguez, Edwin Diday:
  I-Scal: Multidimensional scaling of interval dissimilarities. 360-378
• 
  Paolo Giordani, Henk A. L. Kiers:
  A comparison of three methods for principal component analysis of fuzzy interval data. 379-397
• 
  Piero P. Bonissone, Anil Varma, Kareem S. Aggour, Feng Xue:
  Design of local fuzzy models using evolutionary algorithms. 398-416
• 
  David Shepherd, Francis K. C. Shi:
  Fuzzy modelling and estimation of economic relationships. 417-433
• 
  Murat Gülbay, Cengiz Kahraman:
  Development of fuzzy process control charts and fuzzy unnatural pattern analyses. 434-451

Volume 51, Number 2, November 2006

Section I: Computational Statistics

• 
  Richard William Farebrother:
  A linear programming procedure based on de la Vallée Poussin's minimax estimation procedure. 453-456
• 
  Hansong Wang, Daniel O. Stram:
  Optimal two-stage genome-wide association designs based on false discovery rate. 457-465
• 
  Allou Samé, Christophe Ambroise, Gérard Govaert:
  A classification EM algorithm for binned data. 466-480
• 
  Wim P. Krijnen:
  Convergence of the sequence of parameters generated by alternating least squares algorithms. 481-489
• 
  F. Requena, N. Martín Ciudad:
  A major improvement to the Network Algorithm for Fisher's Exact Test in 2×c. 490-498
• 
  Sven Knoth:
  Computation of the ARL for CUSUM-S. 499-512
• 
  Thanh N. Tran, Ron Wehrens, Lutgarde M. C. Buydens:
  KNN-kernel density-based clustering for high-dimensional multivariate data. 513-525
• 
  Friedrich Leisch:
  A toolbox for K. 526-544
• 
  Pavel Cízek, Wolfgang K. Härdle:
  Robust estimation of dimension reduction space. 545-555
• 
  Athanassios Kondylis, Ali S. Hadi:
  Derived components regression using the BACON algorithm. 556-569
• 
  Qinfang Xiang, Jode W. Edwards, Gary L. Gadbury:
  Interval estimation in a finite mixture model: Modeling P. 570-586
• 
  Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet:
  Model-based cluster and discriminant analysis with the MIXMOD software. 587-600
• 
  Edson Zangiacomi Martinez, Jorge Alberto Achcar, Francisco Louzada-Neto:
  Estimators of sensitivity and specificity in the presence of verification bias: A Bayesian approach. 601-611
• 
  George Kapetanios:
  Choosing the optimal set of instruments from large instrument sets. 612-620
• 
  Maria J. Bayarri, María Eugenia Castellanos, Javier Morales:
  MCMC methods to approximate conditional predictive distributions. 621-640
• 
  Yi He, Wei Pan, Jizhen Lin:
  Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data. 641-658
• 
  Tzu-Haw Lee, Yu-Shan Shih:
  Unbiased variable selection for classification trees with multivariate responses. 659-667
• 
  George Kokolakis, Ph. Nanopoulos, Dimitris Fouskakis:
  Bregman divergences in the (m×k)-partitioning problem. 668-678
• 
  M. N. M. van Lieshout, Radu S. Stoica:
  Perfect simulation for marked point processes. 679-698
• 
  Hans J. Skaug, David A. Fournier:
  Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models. 699-709
• 
  Seung-Ho Kang, Yonghee Lee, EunSug Park:
  The sizes of the three popular asymptotic tests for testing homogeneity of two binomial proportions. 710-722
• 
  Adeniyi J. Adewale, Douglas P. Wiens:
  New criteria for robust integer-valued designs in linear models. 723-736
• 
  Vartan Choulakian, J. Allard, Jalal Almhana:
  Robust centroid method. 737-746
• 
  Wolfgang Jank:
  Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions. 747-761
• 
  Andrés M. Alonso, José R. Berrendero, Adolfo Hernández, Ana Justel:
  Time series clustering based on forecast densities. 762-776
• 
  Thomas Kneib:
  Mixed model-based inference in geoadditive hazard regression for interval-censored survival times. 777-792

Section II: Statistical Methodology for Data Analysis

• 
  Marinela Capanu, Gregory A. Jones, Ronald H. Randles:
  Testing for preference using a sum of Wilcoxon signed rank statistics. 793-796
• 
  Dimitrios V. Vougas:
  On unit root testing with smooth transitions. 797-800
• 
  Guoqing Zheng, Pingjian Zhang:
  Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models. 801-808
• 
  David Huard, Guillaume Évin, Anne-Catherine Favre:
  Bayesian copula selection. 809-822
• 
  C. J. Pérez, Jacinto Martín, María Jesús Rufo:
  MCMC-based local parametric sensitivity estimations. 823-835
• 
  John E. Hinkle, William S. Rayens:
  Reciprocal curves. 836-858
• 
  André Tscheschel, Dietrich Stoyan:
  Statistical reconstruction of random point patterns. 859-871
• 
  Gustavo L. Gilardoni:
  Very accurate posterior approximations based on finite mixtures of the hyperparameters conditionals. 872-884
• 
  Siem Jan Koopman, Marius Ooms:
  Forecasting daily time series using periodic unobserved components time series models. 885-903
• 
  Alberto Luceño:
  Fitting the generalized Pareto distribution to data using maximum goodness-of-fit estimators. 904-917
• 
  Mu Zhu, Ali Ghodsi:
  Automatic dimensionality selection from the scree plot via the use of profile likelihood. 918-930
• 
  Hans-Friedrich Köhn:
  Combinatorial individual differences scaling within the city-block metric. 931-946
• 
  Juha Karvanen:
  Estimation of quantile mixtures via L-moments and trimmed L-moments. 947-959
• 
  Raydonal Ospina, Francisco Cribari-Neto, Klaus L. P. Vasconcellos:
  Improved point and interval estimation for a beta regression model. 960-981
• 
  Hubert J. Chen, Miin-Jye Wen:
  Optimal confidence interval for the largest normal mean under heteroscedasticity. 982-1001
• 
  E. M. Silva, Glaura C. Franco, Valderio Anselmo Reisen, Frederico R. B. Cruz:
  Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models. 1002-1011
• 
  Seung-Chun Lee:
  Interval estimation of binomial proportions based on weighted Polya posterior. 1012-1021
• 
  Miin-Jye Wen, Hubert J. Chen:
  A studentized range test for the equivalency of normal means under heteroscedasticity. 1022-1038
• 
  Reza Modarres, Terrence P. Hui, Gang Zheng:
  Resampling methods for ranked set samples. 1039-1050
• 
  Jin Xu, Arjun K. Gupta:
  Improved confidence regions for a mean vector under general conditions. 1051-1062
• 
  Antonio Cuevas, Manuel Febrero-Bande, Ricardo Fraiman:
  On the use of the bootstrap for estimating functions with functional data. 1063-1074
• 
  Peter Goos, Alexander N. Donev:
  Blocking response surface designs. 1075-1088
• 
  Arvind Ruggoo, Martina Vandebroek:
  Model-sensitive sequential optimal designs. 1089-1099
• 
  María Luisa Menéndez, Julio Angel Pardo, Leandro Pardo, Kostas Zografos:
  On tests of independence based on minimum phi. 1100-1118
• 
  Arturo J. Fernández:
  Bayesian estimation based on trimmed samples from Pareto populations. 1119-1130
• 
  Liang Xu, Sik-Yum Lee, Wai-Yin Poon:
  Deletion measures for generalized linear mixed effects models. 1131-1146
• 
  Tathagata Banerjee, Tapabrata Maiti, Pushpal Mukhopadhyay:
  Classification of pathological stage of prostate cancer patients using penalized splines. 1147-1155
• 
  Lili Tian:
  Testing equality of inverse Gaussian means under heterogeneity, based on generalized test variable. 1156-1162
• 
  Yi-Ting Hwang, Peir Feng Wei:
  A novel method for testing normality in a mixed model of a nested classification. 1163-1183
• 
  Vladimir Nikulin:
  Threshold-based clustering with merging and regularization in application to network intrusion detection. 1184-1196
• 
  Bradley G. Hammill, John S. Preisser:
  A SAS/IML software program for GEE and regression diagnostics. 1197-1212
• 
  Mark A. Lukas, Mingren Shi:
  Sensitivity analysis of constrained linear L. 1213-1231
• 
  Cajo J. F. ter Braak:
  Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising. 1232-1242
• 
  Zhiguang Qian, Alexander Shapiro:
  Simulation-based approach to estimation of latent variable models. 1243-1259

Section III: Special Applications

• 
  Assi N'Guessan, Azeddine Essai, Modeste N'Zi:
  An estimation method of the average effect and the different accident risks when modelling a road safety measure: A simulation study. 1260-1277
• 
  Abdelaziz Ouali, Amar Ramdane-Cherif, Marie-Odile Krebs:
  Data mining based Bayesian networks for best classification. 1278-1292
• 
  Thierry Ané:
  An analysis of the flexibility of Asymmetric Power GARCH models. 1293-1311
• 
  Oriol Roch, Antonio Alegre:
  Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market. 1312-1329
• 
  David I. Stern:
  An atmosphere-ocean time series model of global climate change. 1330-1346
• 
  N. Miklós Arató, Ian L. Dryden, Charles C. Taylor:
  Hierarchical Bayesian modelling of spatial age-dependent mortality. 1347-1363
• 
  Nicholas T. Longford, M. G. Pittau:
  Stability of household income in European countries in the 1990s. 1364-1383
• 
  Afaf M. Mady:
  Some extensions of Langenberg model for clinical trials with delayed observations normally distributed responses. 1384-1392
• 
  Emeline Sicard, Robert Sabatier:
  Theoretical framework for local PLS1 regression, and application to a rainfall data set. 1393-1410
• 
  Haiying Chen, Elizabeth A. Stasny, Douglas A. Wolfe:
  An empirical assessment of ranking accuracy in ranked set sampling. 1411-1419
• 
  Ana-María Fuertes, Elena Kalotychou:
  Early warning systems for sovereign debt crises: The role of heterogeneity. 1420-1441

Volume 51, Number 3, December 2006

Section I: Computational Statistics

• 
  Raquel Prado, Francisco Molina, Gabriel Huerta:
  Multivariate time series modeling and classification via hierarchical VAR mixtures. 1445-1462
• 
  Joaquín A. Pacheco, Silvia Casado, Laura Núñez, Olga Gómez:
  Analysis of new variable selection methods for discriminant analysis. 1463-1478
• 
  Tim Garlipp, Christine H. Müller:
  Detection of linear and circular shapes in image analysis. 1479-1490
• 
  Mohamed Hanafi, Henk A. L. Kiers:
  Analysis of K sets of data, with differential emphasis on agreement between and within sets. 1491-1508
• 
  Jukka Jokinen:
  Fast estimation algorithm for likelihood-based analysis of repeated categorical responses. 1509-1522
• 
  Amal Helu, Dayanand N. Naik:
  Estimation of interclass correlation via a Kotz-type distribution. 1523-1534
• 
  Jorge González, Francis Tuerlinckx, Paul De Boeck, Ronald Cools:
  Numerical integration in logistic-normal models. 1535-1548
• 
  Masahiro Kuroda, Michio Sakakihara:
  Accelerating the convergence of the EM algorithm using the vector epsilon. 1549-1561
• 
  Adeline Samson, Marc Lavielle, France Mentré:
  Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model. 1562-1574
• 
  Ferenc Izsák:
  Maximum likelihood estimation for constrained parameters of multinomial distributions - Application to Zipf-Mandelbrot models. 1575-1583
• 
  Saralees Nadarajah:
  FIM for Arnold and Strauss's bivariate gamma distribution. 1584-1590
• 
  B. Torsney, Saumen Mandal:
  Two classes of multiplicative algorithms for constructing optimizing distributions. 1591-1601
• 
  Annamaria Guolo, Alessandra R. Brazzale, Alessandra Salvan:
  Improved inference on a scalar fixed effect of interest in nonlinear mixed-effects models. 1602-1613
• 
  Brian A. Wichmann, I. D. Hill:
  Generating good pseudo-random numbers. 1614-1622
• 
  Jan Schepers, Iven Van Mechelen, Eva Ceulemans:
  Three-mode partitioning. 1623-1642
• 
  Yongdai Kim, Sunghoon Kwon, Seuck Heun Song:
  Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data. 1643-1655
• 
  Florian Frommlet, Malgorzata Bogdan, Andreas Futschik:
  Power analysis of database search using multiple scoring matrices. 1656-1663
• 
  Romain Neugebauer, Mark J. van der Laan:
  Causal effects in longitudinal studies: Definition and maximum likelihood estimation. 1664-1675
• 
  Romain Neugebauer, Mark J. van der Laan:
  G-computation estimation for causal inference with complex longitudinal data. 1676-1697
• 
  Aila Särkkä, Eric Renshaw:
  The analysis of marked point patterns evolving through space and time. 1698-1718
• 
  Tor Arne Øigård, Håvard Rue, Fred Godtliebsen:
  Bayesian multiscale analysis for time series data. 1719-1730
• 
  Jen-Wen Lin, A. Ian McLeod:
  Improved Pena-Rodriguez portmanteau test. 1731-1738
• 
  Eugene Demidenko:
  Criteria for global minimum of sum of squares in nonlinear regression. 1739-1753

Section II: Statistical Methodology for Data Analysis

• 
  Ming Yuan:
  Flexible temporal expression profile modelling using the Gaussian process. 1754-1764
• 
  Christelle Reynès, Robert Sabatier, Nicolas Molinari:
  Choice of B-splines with free parameters in the flexible discriminant analysis context. 1765-1778
• 
  Pak Wing Fong, Wai Keung Li, Hong-Zhi An:
  A simple multivariate ARCH model specified by random coefficients. 1779-1802
• 
  Giuseppe Storti:
  Minimum distance estimation of GARCH(1, 1) models. 1803-1821
•