Results 21 to 30 of about 8,657 (149)

Coherent frequentism [PDF]

, 2009
By representing the range of fair betting odds according to a pair of confidence set estimators, dual probability measures on parameter space called frequentist posteriors secure the coherence of subjective inference without any prior distribution.
Datta G. S., David R. Bickel, Fisher R. A., Fisher R. A., Gleser L. J., Hacking I., Hannig J., Kaplan M., Kyburg H. E. J., Molchanov I., Paris J. B., Pawitan Y., Smith C. A. B., Walley P., Welch B. L., Wilkinson G. N., Williamson J.   +16 more
core   +1 more source

Bootstrap Confidence Interval of Prediction for Small Area Estimation Based on Linear Mixed Model

IOP Conference Series: Earth and Environment, 2018
Linear Mixed Model (LMM) analyzes the relationship between Gaussian response and predictors with either fixed and random effects. Procedures based on LMM have been used to construct estimates of the means of small areas, by exploiting auxiliary ...
F. Novkaniza, K. Notodiputro, B. Sartono
semanticscholar   +1 more source

A Probabilistic Approach to Quantify the Uncertainty of the 1 Min Irradiance Estimates from the Copernicus Atmosphere Monitoring Service (CAMS) Radiation Service

Solar RRL, EarlyView.
This paper presents the development and evaluation of a probabilistic uncertainty model for the CAMS radiation service irradiance estimates. This model is based on the conditioning of the cumulative distribution function of the deviations to the model inputs.
Jorge Enrique Lezaca Galeano, Yves‐Marie Saint‐Drenan, Marion Schroedter‐Homscheidt   +2 more
wiley   +1 more source

A comparison of confidence interval methods for the intraclass correlation coefficient based on the one-way random effects model

Japanese Journal of Statistics and Data Science
Intraclass correlation coefficients are widely used not only in medicine but also in various other fields. This study focuses on the intraclass correlation coefficient based on the one-way random effects model.
T. Ohyama
semanticscholar   +1 more source

Development of Error Absorption Headroom Setting Algorithm Using Polynomial Surfaces to Create Reserve Power in PV Power Plants†

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study proposes statistical models for mitigating the risks associated with variable power sources by establishing a headroom to absorb prediction errors when PV power plants perform day‐ahead planning without the use of battery systems or intraday market procurement. Specifically, three models are proposed in this study.
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Nonclassical Measurement Error in Farmland Markets with Implications for Ricardian Analysis

American Journal of Agricultural Economics, EarlyView.
Abstract Nonclassical measurement error threatens the validity of empirical economic models. We examine the extent to which land value measures that are commonly used in studies of the US farmland market are subject to nonclassical measurement error. We consider differences in county‐level land values from two popular data sources: (1) self‐reported ...
Daniel P. Bigelow, Margaret Jodlowski
wiley   +1 more source

Late payments, higher prices? An experimental investigation of competitive procurement

Decision Sciences, EarlyView.
Abstract The decision to pay one's supplier late is commonplace across global supply chains and, arguably, a key challenge for many businesses. In a multiple‐methods study, we contribute to the literature by documenting important empirical and anecdotal features about the likelihood and severity of late payments, formulating and solving a theoretical ...
Matthew J. Walker, Kyle Hyndman
wiley   +1 more source

Alternative Approaches for Estimating Highest‐Density Regions

International Statistical Review, EarlyView.
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley   +1 more source

Nonparametric confidence intervals for conditional quantiles with large-dimensional covariates

Electronic Journal of Statistics, 2020
The first part of the paper is dedicated to the construction of a nonparametric confidence interval for a conditional quantile with a level depending on the sample size.
L. Gardes
semanticscholar   +1 more source

Median confidence regions in a nonparametric model [PDF]

Electronic Journal of Statistics, 2018
The problem of constructing confidence regions for the median in the nonparametric measurement error model (NMEM) is considered. This problem arises in many settings, including inference about the median lifetime of a complex system arising in ...
Edsel A. Peña, Taeho Kim
semanticscholar   +1 more source