云南高校图书馆联盟文献共享服务平台- SMOOTHING

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Hierarchical Penalized Mixed Model被引量：1: 《Open Journal of Statistics》2019年第6期657-663,共7页A. W. Ndung’u S. Mwalili L. Odongo; Penalized spline has been a popular method for estimating an unknown function in the non-parametric regression due to their use of low-rank spline bases, which make computations tractable. However its performance is p...; 关键词：Penalized Splines MIXED MODEL SMOOTHING PARAMETER

Univariate Time-Series Analysis of Second-Hand Car Importation in Zambia: 《Open Journal of Statistics》2017年第4期718-730,共13页Stanley Jere Bornwell Kasense Bwalya Bupe Bwalya; Zambia largely depends on the international second-hand car (SHC) market for their motor vehicle supply. The importation of Second hand Cars in Zambia presents a time series problem. The data used in this paper is mon...; 关键词：Zambia IMPORTATION Second HAND Car EXPONENTIAL SMOOTHING MODELS ARIMA MODELS Forecasting

Forecasting Foreign Direct Investment to Zambia: A Time Series Analysis被引量：1: 《Open Journal of Statistics》2017年第1期122-131,共10页Stanley Jere Bornwell Kasense Obvious Chilyabanyama; Three methods are considered in this paper: Simple exponential smoothing (SES), Holt-Winters exponential smoothing (HWES) and autoregressive integrated moving average (ARIMA). The best fit model was then used to forec...; 关键词：Foreign Direct INVESTMENT Simple EXPONENTIAL SMOOTHING Holt-Winters EXPONENTIAL SMOOTHING AUTOREGRESSIVE Integrated Moving AVERAGE Forecasting

Use of BayesSim and Smoothing to Enhance Simulation Studies: 《Open Journal of Statistics》2017年第1期153-172,共20页Jeffrey D. Hart; The conventional form of statistical simulation proceeds by selecting a few models and generating hundreds or thousands of data sets from each model. This article investigates a different approach, called BayesSim, th...; 关键词：Loss Function BAYES Risk Prior DISTRIBUTION Regression SIMULATION SKEW-NORMAL DISTRIBUTION GOODNESS of Fit

Estimation of the Piecewise Exponential Model by Bayesian P-Splines via Gibbs Sampling: Robustness and Reliability of Posterior Estimates: 《Open Journal of Statistics》2016年第3期451-468,共18页Giuseppe Marano Patrizia Boracchi Elia M. Biganzoli; In the investigation of disease dynamics, the effect of covariates on the hazard function is a major topic. Some recent smoothed estimation methods have been proposed, both frequentist and Bayesian, based on the relat...; 关键词：Survival Analysis Hazard Smoothing Bayesian P-Splines Piecewise Exponential Model Time-Dependent Effects

Robust Inference for Time-Varying Coefficient Models with Longitudinal Data: 《Open Journal of Statistics》2015年第7期702-713,共12页Zhaofeng Wang Jiancheng Jiang Qunyi Qiu; Time-varying coefficient models are useful in longitudinal data analysis. Various efforts have been invested for the estimation of the coefficient functions, based on the least squares principle. Related work includes...; 关键词：LOCAL POLYNOMIAL SMOOTHING Longitudinal Data LOCAL M-ESTIMATORS Generalized LIKELIHOOD RATIO Tests

Statistical Models for Forecasting Tourists’ Arrival in Kenya: 《Open Journal of Statistics》2015年第1期60-65,共6页Albert Orwa Akuno Michael Oduor Otieno Charles Wambugu Mwangi Lawrence Areba Bichanga; In this paper, an attempt has been made to forecast tourists’ arrival using statistical time series modeling techniques—Double Exponential Smoothing and the Auto-Regressive Integrated Moving Average (ARIMA). It is c...; 关键词：EXPONENTIAL SMOOTHING ARIMA Model Tourists’ ARRIVAL DATA

Bayesian Analysis of Simple Random Densities: 《Open Journal of Statistics》2014年第5期377-390,共14页Paulo C.Marques F. Carlos A.de B.Pereira; A tractable nonparametric prior over densities is introduced which is closed under sampling and exhibits proper posterior asymptotics.; 关键词：Bayesian Nonparametrics Bayesian Density Estimation Random Densities Random Partitions Stochastic Simulations SMOOTHING

Variable Selection for Partially Linear Varying Coefficient Transformation Models with Censored Data: 《Open Journal of Statistics》2012年第5期565-570,共6页Jiang Du Zhongzhan Zhang Ying Lu; In this paper, we study the problem of variable selection for varying coefficient transformation models with censored data. We fit the varying coefficient transformation models by maximizing the marginal likelihood su...; 关键词：Variable Selection Maximum LIKELIHOOD Estimation SPLINE SMOOTHING

Finite Mixture of Heteroscedastic Single-Index Models: 《Open Journal of Statistics》2012年第1期12-20,共9页Peng Zeng; In many applications a heterogeneous population consists of several subpopulations. When each subpopulation can be adequately modeled by a heteroscedastic single-index model, the whole population is characterized by a...; 关键词：EM Algorithm Finite MIXTURE MODEL HETEROGENEITY HETEROSCEDASTICITY Local Linear SMOOTHING Single-Index MODEL

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