Results 171 to 180 of about 4,690 (265)

Unconditional Variance Estimation Under Complex Surveys

International Statistical Review, EarlyView.
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley   +1 more source

Weighted Chernoff Information and Optimal Loss Exponent in Context-Sensitive Hypothesis Testing. [PDF]

Entropy (Basel)
Kelbert M, Kalimulina EY.
europepmc   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

International Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis, Stefania Gubbiotti, Francesco Mariani   +2 more
wiley   +1 more source

Wild bootstrap for counting process-based statistics: a martingale theory-based approach. [PDF]

Lifetime Data Anal
Dietrich MT, Dobler D, de Gunst MCM.
europepmc   +1 more source

Regularity results for asymptotic problems

, 2016
Elliptic and parabolic equations arise in the mathematical description of a wide variety of phenomena, not only in the natural science but also in engineering and economics. To mention few examples, consider problems arising in different contexts: gas dynamics, biological models, the pricing of assets in economics, composite media.
openaire  

A note on generalised information criteria for structured sparse models

International Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes, Gabriel Jardim Pereira Pinto   +1 more
wiley   +1 more source

A flexible bounded stochastic framework for uncertainty and reliability in physical systems. [PDF]

Sci Rep
Alballa T, Saboor A, Danish M, Khalifa HAE.   +3 more
europepmc   +1 more source

Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method

International Statistical Review, EarlyView.
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang, Tengyuan Liang, Ruey S. Tsay   +2 more
wiley   +1 more source

Comparing adaptive treatment strategies in two-stage randomized trials with grouped survival data. [PDF]

Lifetime Data Anal
Sparkman M, Halabi S, Li Z.
europepmc   +1 more source

Estimating Patagonian toothfish (Dissostichus eleginoides) length at first maturity from their age, sex and temperature experience around South Georgia

Journal of Fish Biology, EarlyView.
Abstract Patagonian toothfish (Dissostichus eleginoides) are a long‐lived, slow‐growing deep‐sea species endemic to the Southern Hemisphere and the focus of longline fisheries managed to ensure sustainable exploitation. Managing the fisheries relies on accurate stock assessments that include pertinent biological and exploitation processes.
Jessica E. Marsh, Sarah R. Alewijnse, Stephen D. Gregory, Philip R. Hollyman, Marta Söffker   +4 more
wiley   +1 more source