4期

最新文章

• A MULTINOMIAL BAYESIAN-APPROACH TO THE ESTIMATION OF POPULATION AND VOCABULARY SIZE AI翻译
  作者：BOENDER, CGE; KAN, AHGR
  摘要：We approach estimation of the size of a population or a vocabulary through a Bayesian analysis of the multinomial distribution. We view the sample as being generated from such a distribution with an unknown number of cells and unknown cell probabilities, and develop a Bayesian procedure to estimate the number of cells and the coverage of the sample. The prior distribution of the number of cells is arbitrary. Given that number, the cell probabilities are assumed to follow a symmetric Dirichlet ...
• A NOTE ON THE PRODUCT-LIMIT ESTIMATOR UNDER RIGHT CENSORING AND LEFT TRUNCATION AI翻译
  作者：TSAI, WY; JEWELL, NP; WANG, MC
  作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley; Johns Hopkins University
  摘要：In many applications involving follow-up studies, individuals'' lifetimes may be subject to left truncation in addition to the usual right censoring. Here we consider the product-limit estimator of the survival curve S or an appropriate conditional version of S. The asymptotic behaviour of the estimator is briefly described together with an example.
• THE MUTUAL INDEPENDENCE HYPOTHESIS FOR CATEGORICAL-DATA IN COMPLEX SAMPLING SCHEMES AI翻译
  作者：PORTEOUS, BT
• CONDITIONAL SCORES AND OPTIMAL SCORES FOR GENERALIZED LINEAR MEASUREMENT-ERROR MODELS AI翻译
  作者：STEFANSKI, LA; CARROLL, RJ
  作者单位：University of North Carolina; University of North Carolina Chapel Hill
• KERNEL DENSITY-ESTIMATION WITH SPHERICAL DATA AI翻译
  作者：HALL, P; WATSON, GS; CABRERA, J
  作者单位：Princeton University; Rutgers University System; Rutgers University New Brunswick
  摘要：We study two natural classes of kernel density estimators for use with spherical data. Members of both classes have already been used in practice. The classes have an element in common, but for the most part they are disjoint. However, all members of the first class are asymptotically equivalent to one another, and to a single element of the second class. In this sense class ''contains'' the first. It includes some estimators which out-perform all those in the first class, if loss is measured ...
• APPROXIMATIONS TO THE POWER OF SOME ORDER RESTRICTED TESTS WITH SLIPPAGE ALTERNATIVES AI翻译
  作者：SINGH, B; WRIGHT, FT
  作者单位：University of Missouri System; Missouri University of Science & Technology
• A FAST SCORING ALGORITHM FOR MAXIMUM-LIKELIHOOD-ESTIMATION IN UNBALANCED MIXED MODELS WITH NESTED RANDOM EFFECTS AI翻译
  作者：LONGFORD, NT
  摘要：A fast Fisher scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects is described. The algorithm uses explicit formulae for the inverse and the determinant of the covariance matrix, given by LaMotte (1972), and avoids inversion of large matrices. Description of the algorithm concentrates on computational aspects for large sets of data.
• A NONPARAMETRIC ESTIMATOR FOR PAIRWISE-INTERACTION POINT-PROCESSES AI翻译
  作者：DIGGLE, PJ; GATES, DJ; STIBBARD, A
• MIXED ORTHOGONAL ARRAYS FOR VARIANCE-ESTIMATION WITH UNEQUAL NUMBERS OF PRIMARY SELECTIONS PER STRATUM AI翻译
  作者：GUPTA, VK; NIGAM, AK