Results 141 to 150 of about 28,224 (283)
The human dimension must be considered in conservation actions. This article presents a discrete choice experiment that analyses the preferences of visitors for the conservation programs being developed in a National Park. The experiment allows identifying certain conflicts between the ecological and social dimensions, and the conclusion is that there ...
Mario Soliño, Vicente Piorno
wiley +1 more source
A paradox concerning nuisance parameters and projected estimating functions
This paper is concerned with a paradox associated with parameter estimation in the presence of nuisance parameters. In a statistical model with unknown nuisance parameters, the efficiency of an estimator of a parameter usually increases when the nuisance
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How Regulatory Costs Impede Financial Technology Gains
ABSTRACT While financial technology innovation lowers intermediation costs, regulatory frictions may prevent these gains from reaching long‐term investors and borrowers. Using variation in retail investor participation driven by state securities registration lapses in peer‐to‐peer lending, we demonstrate that regulatory frictions are associated with ...
Shyam Venkatesan +2 more
wiley +1 more source
ABSTRACT Borderline prolongation of routine clotting assays—particularly the activated partial thromboplastin time (aPTT)—is a common interpretative challenge in laboratory hematology. These reproducible but mildly prolonged results often lie just beyond the upper reference limit and can trigger unnecessary follow‐up, delays, or misinterpretation ...
Nikolaos Androulakis +3 more
wiley +1 more source
Unconditional Variance Estimation Under Complex Surveys
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
Estimating parameters in the presence of many nuisance parameters
This paper considers estimation of parameters for high-dimensional time series with the presence of many nuisance parameters. In particular we are interested in data consisting of p time series of length n, with p to be as large or even larger than n ...
Wu, Billy
core +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
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 +2 more
wiley +1 more source
Abstract High morphological and ecological diversity displayed by European bullheads led Freyhof et al. (2005) to describe 15 nominal species. However, the basis for declaring these nominal species is contentious due to a lack of rigorous statistical analysis of morphological variations among populations, limitations in the inferences made from ...
David S. Murray +3 more
wiley +1 more source
An identifiability criterion in the presence of random nuisance parameters
This paper concerns with the identifiability of an unknown deterministic vector in the presence of random nuisance parameters. In these cases, the classical definition of identifiability, which requires calculation of the Fisher Information Matrix (FIM ...
Farina A +5 more
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Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
wiley +1 more source

