This chapter discusses the role of order statistics in estimating threshold parameters. It is well known that the first order statistic, x l: n , in a random sample of size n (i.e., the smallest sample observation) contains more information about the threshold parameter γ (the end point)...
Gurland, JohnMarcel Dekker, Inc.Communications in StatisticsA unified approach to estimating parameters in some generalized poission distributions[J] . Ram C. Tripathi,John Gurland.Communications in Statistics - Theory and Methods . 1986 (3)
Communications in Statistics - Simulation and ComputationM. Dowling, M. Nakamura, Estimating parameters for discrete distributions via the empirical probability generating function, Commun. Stat. Simul. Comput. 26 (1997) 301-313.M. M. Dowling, M. Nakamura (1997). Estimating parameters for dis- ...
A. (1980) Properties of some estimators for the errors-in-variables model.Annals of Statistics 8, 407–422. Article MathSciNet MATH Google Scholar Fuller, W.A. (1987)Measurement error models, Wiley, New York. MATH Google Scholar Ketellapper, R.H. (1983) On estimating parameters in a...
Eric ParsonageStatisticsM Roughan, J Tuke, and E Parsonage. 2015. Estimating the Parameters of the Waxman Random Graph. (2015). arXiv preprint: 1506.07974.M. Roughan, J. Tuke, and E. Parsonage, "Estimating the parame- ters of the Waxman random graph," 2015, arXiv:1506.07974....
Wrist worn raw-data accelerometers are used increasingly in large-scale population research. We examined whether sleep parameters can be estimated from these data in the absence of sleep diaries. Our heuristic algorithm uses the variance in estimated z-axis angle and makes basic assumptions about sle...
Ifinnodb_stats_persistent=OFF, the number of pages sampled is defined byinnodb_stats_transient_sample_pages. SeeSection 17.8.10.2, “Configuring Non-Persistent Optimizer Statistics Parameters”for additional information. For a more in-depth approach to estimatingANALYZE TABLEcomplexity, consider the follo...
,μk. The problem of componentwise estimation of ordered parameters is investigated. The loss function is assumed to be squared error and the cases of ... Neeraj,Misra,&,... - 《Communications in Statistics Theory & Methods》 被引量: 8发表: 1995年 Loss Functions for Temporal and Spatial ...
If omitted or null, large-sample Wald statistics are given. The degrees of freedom for testing a linear combination of parameters in a linear model would typically be the number of observations used in fitting the model minus the number of parameters estimated in the model – essentially, the ...
Numerical aspects in estimating the parameters of a mixture of normal distributions. Journal of Computational and Graphical Statistics, 1(4):351-365, 1992. 34Evans, M., I. Guttman, and I. Olkin (1992). Numerical aspects in estimating the parameters of a mixture of normal distributions. ...