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Estimation of Non-smooth Functionals in Hilbert Sample Space Using the Edgeworth Expansions
(Asian Journal of Probability and Statistics, 2019)
An arbitrary non-smooth functional is estimated using a nonparametric set-up. Exploratory data analysis
methods are relied on to come up with the functional form for the sample to allow both robustness and optimality to ...
Comparison of some Panel Data Regression Model Estimators using Simulated Data
(JKUAT, 2016)
This paper presents estimation of panel data regression models with individual effects. We discuss estimation techniques for both fixed and random effects panel data regression models. We derive two-stage least squares and ...
Bayesian Estimation of Survivor Function for Censored Data Using Lognormal Mixture Distributions
(IOSR Journal of Mathematics, 2017)
We use Bayesian methods to fit a lognormal mixture model with two components to right censored survival data to estimate the survivor function. This is done using a simulation-based Bayesian framework employing a prior ...
Parametric Modeling of Probability of Bank Loan Default in Kenya
(JAGST, 2012)
Commercial banks in Kenya are the key players not only in the financial market but also in spurring the economic growth that has been witnessed in the country in the recent past. Besides Safaricom and East Africa Breweries, ...
Modelling the volatility of exchange rates in the Kenyan market
(Academic Journals, 2010)
This paper considers the application of the generalized autoregressive conditional heteroscedasticity process in the estimation of volatility in the Kenyan exchange rates. A quasi-maximum likelihood estimation procedure ...
CLASSIFICATION RATES: NON-PARAMETRIC VERSES PARAMETRIC MODELS USING BINARY DATA
(Journal of Agriculture, Science and Technology, 2014)
Estimations of the conditional mean and the marginal effects for particular small changes in the covariates have been of interest in financial, economics and even educational sectors. The standard approach has been to ...
Multivariate ratio estimator of the population total under stratified random sampling
(Scientific Research Publishing, 2012)
Olkin [1] proposed a ratio estimator considering p auxiliary variables under simple random sampling. As is expected,
Simple Random Sampling comes with relatively low levels of precision especially with regard to the fact ...
Seasonal time series forecasting: A comparative study of ARIMA and ANN models
(African Journal of Science and Technology (AJST), 2004)
This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting ability of Artificial Neural Networks (ANN). In particular the paper compares the performance of Artificial Neural Networks ...
Longitudinal Survey, Nonmonotone, Nonresponse, Imputation, Nonparametric Regression
(Scientific Research Publishing, 2016)
The study focuses on the imputation for the longitudinal survey data which often has nonignorable nonrespondents. Local linear regression is used to impute the missing values and then the estimation of the time-dependent ...
Parameter Estimation of Power Lomax Distribution Based on Type-II Progressively Hybrid Censoring Scheme
(HIKARI Ltd, 2018)
In this study, we consider the parameter estimation of a three-parameter continuous distribution, namely, power Lomax distribution proposed by [7], when the lifetime experiments are under Type-II Progressively Hybrid ...