Jackknife Estimator of Species Richness with S-PLUS [PDF]
An estimate of the number of species, S , usually called species richness by ecologists, in an area is one of the basic statistics used to ascertain biological diversity. Traditionally ecologists have used the number of species observed in a sample, S_0 ,
Christina D. Smith, Jeffrey S. Pontius
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Nonparametric Estimation in Renewal Processes
The Annals of Statistics, 1982 Data collected from many independent identically distributed renewal processes, each of which is observed for an arbitrary period of time, is usually affected by censoring coupled with length biased sampling. In this paper we derive an algorithm that produces the nonparametric maximum likelihood estimator (i.e., the analog of the single-sample ...
openaire +2 more sources
Identification and estimation by penalization in nonparametric instrumental regression [PDF]
The nonparametric estimation of a regression function x from conditional moment restrictions involving instrumental variables is considered. The rate of convergence of penalized estimators is studied in the case where x is not identified from the ...
FLORENS, Jean-Pierre +2 more
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Estimating a semi-parametric duration model without specifying heterogeneity [PDF]
This paper presents a new estimator for the mixed proportional hazard model that allows for a nonparametric baseline hazard and time-varying regressors.
Tiemen M. Woutersen, Jerry Hausman
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Adaptive Wavelet Estimation: A Block Thresholding And Oracle Inequality Approach
, 1998 We study wavelet function estimation via the approach of block thresholding and ideal adaptation with oracle. Oracle inequalities are derived to offer insights into the balance and tradeoff between block size and threshold level.
Estimator Adaptivity +4 more
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Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
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Estimating Semiparametric Panel Data Models by Marginal Integration [PDF]
We propose a new methodology for estimating semiparametric panel data models, with a primary focus on the nonparametric component. We eliminate individual effects using first differencing transformation and estimate the unknown function by marginal ...
Qian, Junhui, Wang, Le
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On a semiparametric survival model with flexible covariate effect. [PDF]
A semiparametric hazard model with parametrized time but general covariate dependency is formulated and analyzed inside the framework of counting process theory. A profile likelihood principle is introduced for estimation of the parameters: the resulting
Nielsen, Jens P. +2 more
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Uniform confidence bands for functions estimated nonparametrically with instrumental variables [PDF]
This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally distributed ...
Sokbae 'Simon' Lee, Joel Horowitz
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A multi-predictor nonparametric local linear generalized Poisson regression model for overdispersed count data. [PDF]
MethodsXDarnah +13 more
europepmc +1 more source