Výsledky vyhledávání - "Communications in statistics. Simulation and computation"

Inferences for stress-strength reliability of Burr Type X distributions based on ranked set sampling Autor Akgül, Fatma Gül, Şenoğlu, Birdal

“…In this study, we consider the point and interval estimation of the stress-strength reliability based on ranked set sampling when the stress and the strength…”
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Capturing simple and complex time-dependent effects using flexible parametric survival models: A simulation study Autor Bower, Hannah, Crowther, Michael J., Rutherford, Mark J., Andersson, Therese M.-L., Clements, Mark, Liu, Xing-Rong, Dickman, Paul W., Lambert, Paul C.

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Designing of Variables Repetitive Group Sampling Plan Involving Minimum Average Sample Number Autor Balamurali, S., Park, Heekon, Jun, Chi-Hyuck, Kim, Kwang-Jae, Lee, Jaewook

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Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions Autor dos Santos, Patricia Mendes, Cirillo, Marcelo Ângelo

“…A range of indicators, such as the average variance extracted (AVE), is commonly used to validate constructs. In statistics, AVE is a measure of the amount of…”
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Employing long short-term memory and Facebook prophet model in air temperature forecasting Autor Toharudin, Toni, Pontoh, Resa Septiani, Caraka, Rezzy Eko, Zahroh, Solichatus, Lee, Youngjo, Chen, Rung Ching

“…One of information needed in weather forecast is air temperature. This value might change any time. Prediction of air temperature is very valuable for some…”
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Overview of Friedman's Test and Post-hoc Analysis Autor Pereira, Dulce G., Afonso, Anabela, Medeiros, Fátima Melo

“…When the null hypothesis of Friedman's test is rejected, there is a wide variety of multiple comparisons that can be used to determine which treatments differ…”
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Robust linear regression: A review and comparison Autor Yu, Chun, Yao, Weixin

“…Ordinary least-square (OLS) estimators for a linear model are very sensitive to unusual values in the design space or outliers among y values. Even one single…”
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Number of predictors and multicollinearity: What are their effects on error and bias in regression? Autor Lavery, Matthew Ryan, Acharya, Parul, Sivo, Stephen A., Xu, Lihua

“…The present Monte Carlo simulation study adds to the literature by analyzing parameter bias, rates of Type I and Type II error, and variance inflation factor…”
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An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data Autor Payne, Elizabeth H., Gebregziabher, Mulugeta, Hardin, James W., Ramakrishnan, Viswanathan, Egede, Leonard E.

“…Overdispersion is a problem encountered in the analysis of count data that can lead to invalid inference if unaddressed. Decision about whether data are…”
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How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies Autor Chen, Henian, Cohen, Patricia, Chen, Sophie

“…The odds ratio (OR) is probably the most widely used index of effect size in epidemiological studies. The difficulty of interpreting the OR has troubled many…”
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Platinum and palladium price forecasting through neural networks Autor Xu, Xiaojie, Zhang, Yun

“…To many commodity market participants, forecasts of price series represent a critical task. In this work, nonlinear autoregressive neural network models'…”
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Beta ridge regression estimators: simulation and application Autor Abonazel, Mohamed R., Taha, Ibrahim M.

“…The beta regression model is commonly used when analyzing data that come in the form of rates or percentages. However, a problem that may encounter when…”
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A nonparametric statistical method for two crossing survival curves Autor Huang, Xinghui, Lyu, Jingjing, Hou, Yawen, Chen, Zheng

“…In comparative research on time-to-event data for two groups, when two survival curves cross each other, it may be difficult to use the log-rank test and…”
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Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research Autor Austin, Peter C.

“…Researchers are increasingly using the standardized difference to compare the distribution of baseline covariates between treatment groups in observational…”
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Cross validation for uncertain autoregressive model Autor Liu, Zhe, Yang, Xiangfeng

“…Uncertain time series models have been investigated to predict future values based on imprecise observations. The existing researches focus on how to estimate…”
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A new family of heavy tailed distributions with an application to the heavy tailed insurance loss data Autor Ahmad, Zubair, Mahmoudi, Eisa, Dey, Sanku

“…Heavy tailed distributions play very significant role in the study of actuarial and financial risk management data but the probability distributions proposed…”
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Maximum Likelihood Estimation Under Misspecified Lognormal and Weibull Distributions Autor Pascual, Francis G.

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On the estimation of Bell regression model using ridge estimator Autor Amin, Muhammad, Akram, Muhammad Nauman, Majid, Abdul

“…The bell regression is used, when the response variable is in the form of counts with over dispersion. The bell regression coefficients are generally estimated…”
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On the James-Stein estimator for the poisson regression model Autor Amin, Muhammad, Akram, Muhammad Nauman, Amanullah, Muhammad

“…The Poisson regression model (PRM) aims to model a counting variable y, which is usually estimated by using maximum likelihood estimation (MLE) method. The…”
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A comparison of methods for clustering longitudinal data with slowly changing trends Autor Den Teuling, N. G. P., Pauws, S. C., van den Heuvel, E. R.

“…Longitudinal clustering provides a detailed yet comprehensible description of time profiles among subjects. With several approaches that are commonly used for…”
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