Results 1  10
of
39
OPTIMALLY COMBINING CENSORED AND UNCENSORED DATASETS
, 2008
"... Abstract. We develop a simple semiparametric framework for combining censored and uncensored samples so that the resulting estimators are consistent, asymptotically normal, and use all information optimally. No nonparametric smoothing is required to implement our estimators. To illustrate our resu ..."
Abstract
 Add to MetaCart
Abstract. We develop a simple semiparametric framework for combining censored and uncensored samples so that the resulting estimators are consistent, asymptotically normal, and use all information optimally. No nonparametric smoothing is required to implement our estimators. To illustrate our
Optimally Combining Censored and Uncensored Datasets
 Journal of Econometrics
, 2009
"... Economists and other social scientists often face situations where they have access to two datasets that they can use but one set of data suffers from censoring or truncation. If the censored sample is much bigger than the uncensored sample, it is common for researchers to use the censored sample al ..."
Abstract

Cited by 4 (1 self)
 Add to MetaCart
Economists and other social scientists often face situations where they have access to two datasets that they can use but one set of data suffers from censoring or truncation. If the censored sample is much bigger than the uncensored sample, it is common for researchers to use the censored sample
Department of Economics Working Paper Series Optimally Combining Censored and Uncensored Datasets
, 2005
"... Economists and other social scientists often face situations where they have access to two datasets that they can use but one set of data suffers from censoring or truncation. If the censored sample is much bigger than the uncensored sample, it is common for researchers to use the censored sample al ..."
Abstract
 Add to MetaCart
Economists and other social scientists often face situations where they have access to two datasets that they can use but one set of data suffers from censoring or truncation. If the censored sample is much bigger than the uncensored sample, it is common for researchers to use the censored sample
Imputation Approaches for TopCoded Wages in the German IAB Employment Sample
"... In many large data sets of economic interest, some variables, as wages, are topcoded or rightcensored. In order to analyze wages with the German IAB employment sample we first have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a m ..."
Abstract
 Add to MetaCart
In many large data sets of economic interest, some variables, as wages, are topcoded or rightcensored. In order to analyze wages with the German IAB employment sample we first have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a
Printed in Great Britain Rank tests for censored matched pairs
"... Rank procedures are discussed for testing location in matched pairs data. The tests may be applied to samples containing censored as well as uncensored observations. It is assumed that members of a given pair have equal censoring times while members from distinct pairs may have different times of ce ..."
Abstract
 Add to MetaCart
Rank procedures are discussed for testing location in matched pairs data. The tests may be applied to samples containing censored as well as uncensored observations. It is assumed that members of a given pair have equal censoring times while members from distinct pairs may have different times
The Paradoxical Nature of the Proportional Hazards Model
 Statistics
, 1998
"... Summary. We show that the proportional hazards model of random censorship is too good to be true as measured by mean squared errors: for estimating the underlying distribution function F (x) it is better to have a censored sample for a suitable expected censoring proportion than an uncensored full s ..."
Abstract

Cited by 4 (0 self)
 Add to MetaCart
Summary. We show that the proportional hazards model of random censorship is too good to be true as measured by mean squared errors: for estimating the underlying distribution function F (x) it is better to have a censored sample for a suitable expected censoring proportion than an uncensored full
Adaptive Allocation In The Presence of . . .
 IN COMPUTING SCIENCE AND STATISTICS 30 (1998), PP. 219223.
, 1998
"... We consider the ways in which adaptive allocation is altered when some of the observations become unavailable. Such "missing outcomes" are a strong form of censoring. The problems analyzed involve adaptive sampling from two Bernoulli populations. Both fully sequential designs and fewstage ..."
Abstract
 Add to MetaCart
We consider the ways in which adaptive allocation is altered when some of the observations become unavailable. Such "missing outcomes" are a strong form of censoring. The problems analyzed involve adaptive sampling from two Bernoulli populations. Both fully sequential designs and fewstage
Adaptive Allocation in the Presence of Missing Outcomes
, 1998
"... We consider the ways in which adaptive allocation is altered when some of the observations become unavailable. Such "missing outcomes" are a strong form of censoring. The problems analyzed involve adaptive sampling from two Bernoulli populations. Both fully sequential designs and fewstage ..."
Abstract
 Add to MetaCart
the complexity of the problem. We also convert designs for uncensored problems into natural designs for the censored problem, and compare to the optimal design. Keywords and phrases: censoring, dynamic programming, sequential sampling, fewstage, design of experiments, algorithms 1 Introduction An adaptive
0. Abstract. STATISTICAL METHODS MINING, TWO SAMPLE DATA ANALYSIS, COMPARISON DISTRIBUTIONS, AND QUANTILE LIMIT THEOREMS
"... and 20 years of quantile research. In this paper I propose a map (coordinate system) of statistical methods whose aim is to provide a vision of specific methods without learning their details. I use this framework to motivate methods for modeling two samples, and testing their homogeneity, based on ..."
Abstract
 Add to MetaCart
on comparison distribution functions, quantile limit theorems, and comparison density functions. Theory is developed to be applicable to both uncensored and censored data. I propose that we need to help the application of methods of probability and statistics to the emerging field of “data mining”, which seeks
Printed in Great Britain Statistical inference for censored bivariate normal distributions based
"... For a censored sample from a bivariate normal distribution consisting of the first k of n order statistics of one variable and the induced order statistics of the other variable, the maximum likelihood estimators of the parameters and the associated large sample covariance matrix are derived. The l ..."
Abstract
 Add to MetaCart
For a censored sample from a bivariate normal distribution consisting of the first k of n order statistics of one variable and the induced order statistics of the other variable, the maximum likelihood estimators of the parameters and the associated large sample covariance matrix are derived
Results 1  10
of
39