Logistic distribution - Globe Thesis

Keyword [Logistic distribution] Result: 1 - 20 \| Page: 1 of 2
1.	Parameter Estimation For The Multivariable Logistic Distribution
2.	The Estimation For Location And Scale Parameters Of Logistic Distribution Under Median Ranked Set Sampling
3.	Estimation In The Location-scale-shape Model Of Type I Generalized Logistic Distribution
4.	Statistical Inference Of The Generalized Logistic Distribution Under Type-Ⅱ Censoring
5.	The Study On Volatility Of Futures Based On Logistic Distribution GARCH Models
6.	Research For The Joint Design Standards Of Wind And Wave Parameters Based On Hazard Rate Analysis
7.	Limit Distributions And Asymptotic Expansions Of Distributions Of Extremes From Skew Normal-Logistic Distribution
8.	Research On Statistical Inference Problem For A Class Of Three - Parameter Generalized Logistic Distribution
9.	Estimation In The Location-Scale-Shape Of Type ? Generalized Logistic Distribution
10.	Statistical Inference Of The Type-??Type-??Mixture Of Type-? Generalized Logistic Distribution
11.	Statistical Inference For Type ? Generalized Logistic Distribution
12.	Approximate Maximum Likelihood Estimation Of Two-parameter Logistic Distribution Parameters Under Several Data Types
13.	Statistical Analysis Of An Accelerated Life Test With A Two-parameter Half Logistic Distribution
14.	Statistical Analysis Of Step-and-step Tests And Step-down Tests For Half-logistic Distributions With Shape Parameters
15.	Degradation Modeling And Residual Life Estimation Based On Wiener Process With Measurement Errors
16.	Objective Bayesian Analysis For The Generalized Logistic Distribution And Doubly Accelerated Degradation Model
17.	Parametric Estimationa For Log-logistic Distribution Under Ranked Set Sampling
18.	Theory,Method And Applications Of Statistical Inference For The Type ? Generalized Logistic Distribution
19.	The Efficiency Of Moving Extremes Ranked Set Sampling Design For Statistical Inference For Two Classes Of Models
20.	A Kind Of Ellipse Distribution And Its Application In Risk Management
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