Titlebook: Exploring Research Frontiers in Contemporary Statistics and Econometrics; A Festschrift for Lé Ingrid Van Keilegom,Paul W. Wilson Book 2012

expunge

Asymptotic Properties of Some Non-Parametric Hyperbolic Efficiency Estimators,he new estimator. A numerical procedure allowing computation of the original estimator is provided, and this estimator is also shown to be consistent, with the same rate of convergence as the new estimator. In addition, an unconditional, hyperbolic order-. efficiency estimator is developed by extend

GRAIN

Explaining Efficiency in Nonparametric Frontier Models: Recent Developments in Statistical InferencRecently, B?din et al. (Eur. J. Oper. Res. 201(2):633–640, 2010) proposed a data driven procedure for selecting the optimal bandwidth based on a general result obtained by Hall et al. (J. Am. Stat. Assoc. 99(486):1015–1026, 2004) for estimating conditional probability densities. The method employs l

AGGER

The Skewness Issue in Stochastic Frontiers Models: Fact or Fiction?,ple size. That is, the skewness problem is a finite sample one and it often arises in finite samples from a data generating process based on the correct skewness. Thus the researcher should first attempt to increase the sample size instead of changing the model specification if she finds the “wrong”

自然環(huán)境

Exploring Research Frontiers in Contemporary Statistics and EconometricsA Festschrift for Lé

機(jī)械

triptans

Suspended Load Transport of Bio-sediment,hed estimator of the full frontier outperforms frankly the sample estimator in terms of both bias and Mean-Squared Error, under optimal bandwidth. In this domain of attraction, Nadaraya’s estimates of extreme quantiles might be superior to the sample versions in terms of MSE although they have a hig

大溝

暫時(shí)別動(dòng)

Samuel J. DeFranco,John P. DempseyRecently, B?din et al. (Eur. J. Oper. Res. 201(2):633–640, 2010) proposed a data driven procedure for selecting the optimal bandwidth based on a general result obtained by Hall et al. (J. Am. Stat. Assoc. 99(486):1015–1026, 2004) for estimating conditional probability densities. The method employs l

Mhc-Molecule

Mechanics of Elastic Biomoleculesple size. That is, the skewness problem is a finite sample one and it often arises in finite samples from a data generating process based on the correct skewness. Thus the researcher should first attempt to increase the sample size instead of changing the model specification if she finds the “wrong”

出沒