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Journal of Statistical Planning and Inference 2000: Vol 83 Index PDF

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journal of Statistical planning Journal of Statistical Planning and and inference ELSEVIER Inference 83 (2000) 481-482 www.elsevier.com/locate/jspi Author Index Volume 83 (2000)* Ango-Nze, P. and R. Rios, Density estimation in L” norm for mixing processes (1) 75- 90 Antos, A., L. Gy6érfi and M. Kohler, Lower bounds on the rate of convergence of nonparametric regression estimates (1) 91-100 Bandyopadhyay, U. and A. Biswas, Comparison of two treatments with heterogeneous experimental units (2) 441-448 Barranco-Chamorro, I., see J.L. Moreno-Rebollo (2) 311-318 Biggerstaff, B.J., see A.L. Rukhin (2) 319-330 Biswas, A., see U. Bandyopadhyay (2) 441-448 Burch, B.D., see I.R. Harris (1) 257-276 Chen, Y.-I. and Y. Chi, Multiple comparisons between successive treatments for randomly right-censored survival data (1) 137-151 Chen, Z., On ranked-set sample quantiles and their applications (1) 125-135 Chi, Y., see Y.-I. Chen (1) 137-151 Dikta, G., The strong law under semiparametric random censorship models (1) 1- 10 Durham, S.D. and J.D. Lynch, A threshold representation for the strength distribution of a complex load sharing system (1) 25- 46 El-Nouty, C. and A. Guillou, On the smoothed bootstrap (1) 203-220 Fakhre-Zakeri, I. and S. Lee, On functional limit theorems for multivariate linear processes with applications to sequential estimation (1) 11- 23 Fan, T.H., see C.D. Fuh (1) 221-241 Fang, K.-T., see M.-Y. Xie (1) 101-111 Fang, K.-T., see J.-X. Pan (1) 153-167 Francq, C. and J.-M. Zakoian, Covariance matrix estimation for estimators of mixing weak ARMA models (2) 369-394 Fuh, C.D., T.H. Fan and W.L. Hung, Balanced importance resampling for Markov chains (1) 221-241 Fujioka, Y. and Y. Maesono, Higher order normalizing transformations of asymptotic U-statistics for removing bias, skewness and kurtosis (1) 47- 74 Fung, W.-K., see J.-X. Pan (1) 153-167 Gastwirth, J.L., see W.O. Johnson (2) 449-473 Giani, G. and K. Strassburger, Multiple comparison procedures for optimally discriminating between good, equivalent, and bad treatments with respect to a control (2) 413-440 Guillou, A., see C. El-Nouty (1) 203-220 Gyorfi, L., see A. Antos (1) 91-100 | Harris, I.R. and B.D. Burch, Pivotal estimation with applications for the intraclass correlation coefficient in the balanced one-way random effects model (1) 257-276 Hung, W.L., see C.D. Fuh (1) 221-241 Hutson, A.D., see G.S. Mudholkar (2) 291-309 Johnson, W.O. and J.L. Gastwirth, Dual group screening (2) 449-473 *The issue number is given in front of page numbers Elsevier Science B.V. are oer 482 Author Index Volume 83 Kennedy, M.C., A Bayesian approach to computing posterior distribution and quantile functions 183-201 Kohler, M., see A. Antos 91-100 Korner, R., An asymptotic «-test for the expectation of random fuzzy variables 331-346 Lee, S., see I. Fakhre-Zakeri 1i- 23 Liang, T., On empirical Bayes tests in a positive exponential family 169-181 Lopez-Blazquez, F., see J.L. Moreno-Rebollo 311-318 Lynch, J.D., see S.D. Durham 25- 46 Maesono, Y., see Y. Fujioka 47- 74 Mangat, N.S., see S. Singh 243-255 eO— eQ Moreno, M. and J. Romo, Bootstrap tests for unit roots based on LAD estimation 347-367 Oe Moreno-Rebollo, J.L., F. Lopez-Blazquez, I. Barranco-Chamorro and A. Pascual-Acosta, Estimating the unknown sample size 311-318 Mudholkar, G.S. and A.D. Hutson, The epsilon-skew-normal distribution for analyzing near-normal data 291-309 Pan, J.-X., W.-K. Fung and K.-T. Fang, Multiple outlier detection in multivariate data using projection pursuit techniques 153-167 Pascual-Acosta, A., see J.L. Moreno-Rebollo 311-318 Pfanzagl, J.. Remark on “When does Edgeworth beat Berry and Esséen? Numerical evaluations of the Edgeworth expansions” by [M. Scoh, M. Hallin, Statist. Plann. Inference 63 (1997) 19-38] 277-279 Rios, R., see P. Ango-Nze 75- 90 Romo, J., see M. Moreno 347-367 Rukhin, A.L., B.J. Biggerstaff and M.G. Vangel, Restricted maximum likelihood estimation of a common mean and the Mandel-Paule algorithm 319-330 Sajjan, S.G., A note on central limit theorems for lattice models 283-290 Singh, R., see S. Singh 243-255 Singh, S., R. Singh and N.S. Mangat, Some alternative strategies to Moors’ 243-255 model in randomized response sampling 413-440 Strassburger, K., see G. Giani 319-330 Vangel, M.G., see A.L. Rukhin Wiens, D.P., Robust weights and designs for biased regression models: Least squares and generalized M-estimation 395-412 Xie, M.-Y. and K.-T. Fang, Admissibility and minimaxity of the uniform design measure in nonparametric regression model 101-111 Yun, S., A class of Pickands-type estimators for the extreme value index 113-124 Zakoian, J.-M., see C. Francq 369-394

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