MAXIMUM

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Interval Estimation in a Two Parameter Weibull Distribution Based on Type-2 Censored Data被引量：1
《Open Journal of Statistics》2020年第6期1039-1056,共18页Raphael Masila Mweleli Luke Akong’o Orawo Cox Lwaka Tamba Justin Obwoge Okenye 
In this paper, we consider the construction of the approximate profile- likelihood confidence intervals for parameters of the 2-parameter We...
关键词：Two-Parameter Weibull Distribution Interval Estimation Relative Likelihood Function Maximum Relative Likelihood Function Profile-Likelihood Interval Coverage Probability 
The Performance of Robust Methods in Logistic Regression Model
《Open Journal of Statistics》2020年第1期127-138,共12页Idriss Abdelmajid Idriss Ahmed Weihu Cheng 
Logistic regression is the most important tool for data analysis in various fields. The classical approach for estimating parameters is the maximum likelihood estimation, a disadvantage of this method is high sensitiv...
关键词：LOGISTIC Regression MAXIMUM LIKELIHOOD ESTIMATOR Robust Estimation OUTLIER WEIGHTED MAXIMUM LIKELIHOOD 
Extraction of Information from Crowdsourcing: Experimental Test Employing Bayesian, Maximum Likelihood, and Maximum Entropy Methods被引量：2
《Open Journal of Statistics》2019年第5期571-600,共30页M. P. Silverman 
A crowdsourcing experiment in which viewers (the “crowd”) of a British Broadcasting Corporation (BBC) television show submitted estimates of the number of coins in a tumbler was shown in an antecedent paper (Part 1)...
关键词：Crowdsourcing BAYESIAN PRIORS MAXIMUM LIKELIHOOD PRINCIPLE of MAXIMUM ENTROPY Parameter Estimation Log-Normal Distribution 
Optimal Threshold Determination for Securities Exchange Volumes Using Improved Maximum Product of Spacing Methodology
《Open Journal of Statistics》2019年第3期327-346,共20页Peter Murage Joseph Mung’atu Everlyne Odero 
To Statisticians, the structure of the extreme levels which exist in the tails of the ordinary distributions is very important in analyzing, predicting and forecasting the likelihood of an occurrence of extreme event....
关键词：Extreme Value Theory (EVT) MAXIMUM PRODUCT of SPACING (MPS) Generalized Pareto Distribution (GPD) Peaks over Threshold (POT) NAIROBI SECURITIES EXCHANGE (NSE) 
Unified Asymptotic Results for Maximum Spacing and Generalized Spacing Methods for Continuous Models被引量：1
《Open Journal of Statistics》2018年第3期614-639,共26页Andrew Luong 
Asymptotic results are obtained using an approach based on limit theorem results obtained for α-mixing sequences for the class of general spacings (GSP) methods which include the maximum spacings (MSP) method. The MS...
关键词：MAXIMUM Product of SPACINGS M-ESTIMATORS QUASI-LIKELIHOOD Ratio Test Statistic Α-MIXING Sequences 
Maximum Likelihood Estimation of the Parameters of Exponentiated Generalized Weibull Based on Progressive Type II Censored Data被引量：4
《Open Journal of Statistics》2017年第6期956-963,共8页Ibrahim Sawadogo Leo Odongo Ibrahim Ly 
Exponentiated Generalized Weibull distribution is a probability distribution which generalizes the Weibull distribution introducing two more shapes parameters to best adjust the non-monotonic shape. The parameters of ...
关键词：MAXIMUM LIKELIHOOD Type II Censored Data Exponentiated GENERALIZED Weibull EM-ALGORITHM 
Generalized Inverted Kumaraswamy Distribution: Properties and Application
《Open Journal of Statistics》2017年第4期645-662,共18页Zafar Iqbal Muhammad Maqsood Tahir Naureen Riaz Syed Azeem Ali Munir Ahmad 
The techniques to find appropriate new models for data sets are very popular nowadays among the researchers of this area where existed models in the literature are not suitable. In this paper, a new distribution, gene...
关键词：GENERALIZED INVERTED Kumaraswamy DISTRIBUTION Stress-Strength Models MAXIMUM LIKELIHOOD Estimation 
An Approximation Method for a Maximum Likelihood Equation System and Application to the Analysis of Accidents Data
《Open Journal of Statistics》2017年第1期132-152,共21页Assi N’Guessan Issa Cherif Geraldo Bezza Hafidi 
There exist many iterative methods for computing the maximum likelihood estimator but most of them suffer from one or several drawbacks such as the need to inverse a Hessian matrix and the need to find good initial ap...
关键词：Constrained MAXIMUM LIKELIHOOD Partial Linear APPROXIMATION Schur’s COMPLEMENT ITERATIVE Algorithms Road Safety Measure MULTINOMIAL Model 
Weibull-Bayesian Estimation Based on Maximum Ranked Set Sampling with Unequal Samples
《Open Journal of Statistics》2016年第6期1028-1036,共10页B. S. Biradar B. K. Shivanna 
A modification of ranked set sampling (RSS) called maximum ranked set sampling with unequal sample (MRSSU) is considered for the Bayesian estimation of scale parameter α of the Weibull distribution. Under this method...
关键词：Bayesian Estimation Loss Function MRSSU SRS RSS 
Statistical Classification Using the Maximum Function被引量：1
《Open Journal of Statistics》2015年第7期665-679,共15页T. Pham-Gia Nguyen D. Nhat Nguyen V. Phong 
The maximum of k numerical functions defined on , , by , ??is used here in Statistical classification. Previously, it has been used in Statistical Discrimination [1] and in Clustering [2]. We present first some theore...
关键词：MAXIMUM DISCRIMINANT Function Pattern Classification NORMAL Distribution BAYES Error L1-Norm Linear QUADRATIC Space CURVES 
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