Results 131 to 140 of about 22,043,161 (356)
Bootstrap Testing in Nonlinear Models [PDF]
When a model is nonlinear, bootstrap testing can be expensive because of the need to perform at least one nonlinear estimation for every bootstrap sample.
James G. MacKinnon, Russell Davidson
core
Bootstrap prediction intervals for power-transformed time series [PDF]
, 2001 In this paper we propose a bootstrap resampling scheme to construct prediction intervals for future values of a variable after a linear ARIMA model has been fitted to a power transformation of it.
Pascual, Lorenzo +2 more
core +1 more source
Exploring the relationship between growth in online shopping and multichannel food consumers
Applied Economic Perspectives and Policy, EarlyView.Abstract During the pandemic, many food retailers began offering online shopping options, primarily in reaction to rising consumer demand for such options, which was a response to supply chain disruptions and fear of contagion and food scarcity.
Mackenzie Gill, Dawn Thilmany
wiley +1 more source
Second Order Correctness of Perturbation Bootstrap M-Estimator of Multiple Linear Regression Parameter [PDF]
arXiv, 2016 Consider the multiple linear regression model $y_{i} = \boldsymbol{x}'_{i} \boldsymbol{\beta} + \epsilon_{i}$, where $\epsilon_i$'s are independent and identically distributed random variables, $\mathbf{x}_i$'s are known design vectors and $\boldsymbol{\beta}$ is the $p \times 1$ vector of parameters.
arxiv
No unitary bootstrap for the fractal Ising model
, 2015 A bstractWe consider the conformal bootstrap for spacetime dimension 1 < d < 2. We determine bounds on operator dimensions and compare our results with various theoretical and numerical models, in particular with resummed ϵ-expansion and Monte Carlo ...
J. Golden, M. Paulos
semanticscholar +1 more source
The nonparametric bootstrap for the current status model
Electronic Journal of Statistics, 2017 It has been proved that direct bootstrapping of the nonparametric maximum likelihood estimator (MLE) of the distribution function in the current status model leads to inconsistent confidence intervals. We show that bootstrapping of functionals of the MLE can however be used to produce valid intervals.
Groeneboom, P. (author) +1 more
openaire +7 more sources
King and Cochrane: The technological treadmill and racial inequity in US agriculture
Applied Economic Perspectives and Policy, EarlyView.Abstract Between 1920 and 1969, the number of Black farmers in the US decreased from 14% of all operators to 4%. Using Martin Luther King Jr.'s critique of agricultural policy and Willard Cochrane's theory of the technological treadmill, we explore how racial discrimination was linked to policies that led to structural change in US agriculture.
Jared Hutchins, Jacopo De Marinis
wiley +1 more source
How to Bootstrap Aalen-Johansen Processes for Competing Risks? Handicaps, Solutions and Limitations [PDF]
arXiv, 2014 Statistical inference in competing risks models is often based on the famous Aalen-Johansen estimator. Since the corresponding limit process lacks independent increments, it is typically applied together with Lin's (1997) resampling technique involving standard normal multipliers.
arxiv
Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models [PDF]
This paper utilizes the bootstrap to construct tests using the measures for goodness-of-fit for nonnested regression models. The bootstrap enables us to compute the statistical significance of the differences in the measures and to formally test on ...
Jeong, Jinook
core +1 more source
Advanced Energy and Sustainability Research, EarlyView.This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi +5 more
wiley +1 more source