Search Results - subject:"Biased Sampling"

Doubly robust-type estimation of population moments and parameters in biased sampling

Hoshino, Takahiro; Shimizu, Yuya - 2019

Persistent link: https://www.econbiz.de/10012171733

The Interpretation of the Laakso-Taagepera Effective Number of Parties.

Caulier, Jean-François - Centre d'Économie de la Sorbonne, Université Paris 1 … - 2011

In this paper, we present a general statistical framework within which we can draw a new interpretation of the Laakso-Taagepera effective number of parties fragmentation index. With the particular method of sampling with probability proportional to the party sizes, we show that the...

Persistent link: https://www.econbiz.de/10008835201

Improved maximum likelihood estimation for the Weibull distribution under length-biased sampling

Giles, David E. A. - In: Journal of quantitative economics 19 (2021), pp. 59-77

Persistent link: https://www.econbiz.de/10013441707

A nonparametric maximum likelihood estimation for biased-sampling data with zero-inflated truncation

Zhang, Feipeng; Yang, Jiejing; Ye, Min - In: Economics letters 194 (2020), pp. 1-4

Persistent link: https://www.econbiz.de/10012509387

Weather-based estimation of wildfire risk

Ho, Joanne; Odening, Martin - 2009

Catastrophic wildfires in California have become more frequent in past decades, while insured losses per event have been rising substantially. On average, California ranks the highest among states in the U.S. in the number of fires as well as the number of acres burned each year. The study of...

Persistent link: https://www.econbiz.de/10010270697

Weather-based estimation of wildfire risk

Ho, Joanne; Odening, Martin - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2009

forecast wildfire occurrences based on weather information that is readily available at low cost. Keywords: biased sampling …

Persistent link: https://www.econbiz.de/10009278168

Asymptotic Theory for Multiple-Sample Semiparametric Density Ratio Models and Its Application to Mortality Forecasting

Lu, Guanhua - 2007

A multiple-sample semiparametric density ratio model, which is equivalent to a generalized logistic regression model, can be constructedby multiplicative exponential distortions of a reference distribution. Distortion functions are assumed to be nonnegative and of a known finite-dimensional...

Persistent link: https://www.econbiz.de/10009450972

Fitting parametric frailty and mixture models under biased sampling

Economou, P.; Caroni, C. - In: Journal of Applied Statistics 36 (2009) 1, pp. 53-66

Biased sampling from an underlying distribution with p.d.f. f(t), t>0, implies that observations follow the weighted … applications, including length-biased sampling (α=1) and area-biased sampling (α=2). We first consider here the maximum likelihood … estimation of the parameters of a distribution f(t) under biased sampling from a censored population in a proportional hazards …

Persistent link: https://www.econbiz.de/10005278861

A Partial Empirical Likelihood Based Score Test Under a Semiparametric Finite Mixture Model

Zhang, Biao - In: Annals of the Institute of Statistical Mathematics 58 (2006) 4, pp. 707-719

Persistent link: https://www.econbiz.de/10005616234

On the Effect of Misspecifying the Density Ratio Model

Fokianos, Konstantinos; Kaimi, Irene - In: Annals of the Institute of Statistical Mathematics 58 (2006) 3, pp. 475-497

Persistent link: https://www.econbiz.de/10005616301