Search Results - "Communications in statistics. Simulation and computation"

Inferences for stress-strength reliability of Burr Type X distributions based on ranked set sampling by 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 by 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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Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions by 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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Robust linear regression: A review and comparison by 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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Employing long short-term memory and Facebook prophet model in air temperature forecasting by 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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How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies by 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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Number of predictors and multicollinearity: What are their effects on error and bias in regression? by 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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Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research by 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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An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data by 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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Cross validation for uncertain autoregressive model by 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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Beta ridge regression estimators: simulation and application by 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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Designing of variables repetitive group sampling plan involving minimum average sample number by BALAMURALI, S, PARK, Heekon, JUN, Chi-Hyuck, KIM, Kwang-Jae, LEE, Jaewook

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A nonparametric statistical method for two crossing survival curves by 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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On the estimation of Bell regression model using ridge estimator by 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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Tweedie gradient boosting for extremely unbalanced zero-inflated data by Zhou, He, Qian, Wei, Yang, Yi

“…Tweedie's compound Poisson model is a popular method to model insurance claims with probability mass at zero and nonnegative, highly right-skewed distribution…”
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On the James-Stein estimator for the poisson regression model by 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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Moment estimation for uncertain regression model with application to factors analysis of grain yield by Liu, Yang

“…Uncertain regression analysis is a powerful analytical tool to model the relationships between explanatory variables and the response variable by uncertainty…”
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Estimation of population mean in presence of missing data under simple random sampling by Bhushan, Shashi, Kumar, Anoop, Pandey, Abhay Pratap, Singh, Saurabh

“…Missing data is an obligatory phenomenon in most of the sample surveys and when it is not handled cautiously at beginning of the study, outcomes may result to…”
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Estimation of Lindley constant-stress model via product of spacing with Type-II censored accelerated life data by Nassar, Mazen, Dey, Sanku, Wang, Liang, Elshahhat, Ahmed

“…Accelerated Life Test has been introduced as a tool to aid in obtaining sufficient failure time data of test units quickly and extrapolating lifetime…”
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Performance of maximum EWMA control chart in the presence of measurement error using auxiliary information by Noor-ul-Amin, Muhammad, Javaid, Amjad, Hanif, Muhammad, Dogu, Eralp

“…EWMA and Max-EWMA charts are considered efficient for individual as well as joint monitoring of mean and variance shifts in the production process. However,…”
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