We propose a generalized class of estimators for finite population variance using the auxiliary variable as
well as rank of the auxiliary variable in stratified sampling. We identify many estimators as special cases of ...
In this paper, a Periodic review deterministic inventory model for deteriorating items with Exponential rate of demand is considered. The model is developed on the basis of constant rate of deteriorating item with shortages ...
Nadaraya-Watson (NW) estimator with fixed bandwidth and its adaptive forms with varying bandwidths are widely used kernel regression estimators in nonparametric regression. In this paper, we propose a generalized class of ...
In this paper, several Educational Statistical Tools for summarizing a test marks are discussed. The mean, variance, 5-
number summary, Difficulty index and Discrimination index are discussed in details. The tools are ...
Chakalabbi, B F; Neregal, Sanmati; Matur, Sagar(2019-11-01)
GMM estimators properties for panel data have been very well known in the econometric literature and it has been observed that for small sample cases, they perform well. The OLS (Ordinary Least Squares) is not applicable ...
Harini, S; Subbiah, M; Srinivasan, M.R.(2019-11-01)
Hospital management is generally focused on studying the length of stay of patients since the measure has an impact on hospital resources. It is a challenging task for the hospital management to model the length of stay ...
As fewer samples are meaningless and lead to fallacious conclusions, researchers are used to calculate minimum sample size before the conduct of any study. Although the larger samples can yield more accurate results, an ...
B., SriRam; A., Suhasini; R.R.L., Kantam(2019-05-01)
The time to failure of a product is considered as a quality characteristic of following Log-Logistic distribution (β = 3). Control limits are evaluated for the time to failure. Life time data are compared with the control ...
Siloko, I. U.; Siloko, E. A.; Ikpotokin, O.; Ishiekwene, C. C.; Afere, B.A.(2019-05-01)
The techniques of asymptotic mean integrated squared error’s reduction in kernel density estimation is the focus of this paper. The asymptotic mean integrated squared error (AMISE) is an optimality criterion function that ...
M., Shakil; M., Ahsanullah; B.M. Golam, Kibria(2019-05-01)
For modelling the directional spectra of ocean waves, Cartwright introduced a power-of-cosine circular distribution, (cf.
Cartwright, D. E. (1963), “The use of directional spectra in studying the output of a wave recorder ...
In this paper, we have proposed two log- product -type estimators and a new estimator for estimation of finite
population mean under measurement error by using auxiliary information. The expressions for Bias and mean ...
The study of a multicompnent system with k identical components which are independent to each other is considered in the present work. The components of the system have series structure with two dependent elements that are ...
In this paper, exponential ratio and product type estimators for population mean of study character using known
population proportion of auxiliary attribute in the presence of non-response have been proposed. The expressions ...
In this paper, a generalization of generalized gamma distribution(GGGD) ,which includes the three-parameter generalized
gamma distribution, two-parameter Weibull and gamma distributions, and exponential distribution as ...
Software usage has been dealing major parts in all the activities of individuals as well as organizations. Software users expecting the good and reliable software. There are many approaches in Software reliability studies ...
In this paper, we explore the application of hidden Markov model (HMM) in the modeling of agricultural price data.
Normal hidden Markov model is fitted and compared with univariate autoregressive moving average (ARMA) ...
A new median ranked set sampling procedure for positively skew distributions (NMRSSS) is proposed and used to estimate population mean. The estimators based on the proposed scheme are compared with the estimators based on ...
Classification of objects is an important problem that has received the attention of several researchers in Data Mining. Necessity for classification of an object into one of the predefined classes arises in several domains ...