Results 41 to 50 of about 495,754 (290)
F1000Research, 2023 Background The creation of developing new generalized classes of distributions has attracted applied and theoretical statisticians owing to their properties of flexibility. The development of generalized distribution aims to find distribution flexibility
Arnold K. Fulment +2 more
doaj +1 more source
Truncated log-logistic Family of Distributions
Journal of Biostatistics and Epidemiology, 2020 Background & Aim: There are various data associated with any events in the world which need to be analyzed. In response to this, many researchers attempt to find appropriate methods that could better fit these data using new models. One of these methods is to introduce new distributions which could better describe available data.
Mohadese Akbarinasab +2 more
openaire +2 more sources
Experimental Designs for Binary Data in Switching Measurements on Superconducting Josephson Junctions [PDF]
, 2006 We study the optimal design of switching measurements of small Josephson junction circuits which operate in the macroscopic quantum tunnelling regime. Starting from the D-optimality criterion we derive the optimal design for the estimation of the unknown
Abdelbasit K. M. +16 more
core +3 more sources
On the likelihood of future eruptions in the Chilean Southern Volcanic Zone: interpreting the past century's eruption record based on statistical analyses [PDF]
, 2012 A sequence of 150 explosive eruptions recorded during the past century at the Chilean Southern Volcanic Zone (SVZ) is subjected to statistical time series analysis. The exponential, Weibull, and log-logistic distribution functions are fit to the eruption
Dzierma, Yvonne, Wehrmann, Heidi
core +2 more sources
, 2021 Estimation of the parameters is quite important in the numerous fields for the development of mathematical models. Maximum likelihood estimation is a good method, which is usually used to elaborate on the parameter estimation.
I. Amina, Atiya Kalaf Bayda
semanticscholar +1 more source
The Log-logistic Weibull Distribution with Applications to Lifetime Data
Austrian Journal of Statistics, 2016 In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution is developed and presented. This dis- tribution contain the log-logistic Rayleigh (LLoGR), log-logistic expo- nential (LLoGE) and log-logistic (LLoG ...
Broderick Oluyede +3 more
doaj +1 more source
Time truncated control chart using log logistic distribution
Biometrics & Biostatistics International Journal, 2020 Control charts are considered as important tools when producer wants to produce goods or services of high–quality. These charts help producers to manufacture products based on specified limits by monitoring the quality beforehand.1 There are a number of ...
Gadde Srinivasa Rao, Edwin Paul
openaire +2 more sources
Noninformative priors for the log-logistic distribution [PDF]
Journal of the Korean Data and Information Science Society, 2014 Abstract In this paper, we develop the noninformative priors for the scale parameter andthe shape parameter in the log-logistic distribution. We developed the rst and secondorder matching priors. It turns out that the second order matching prior matches the al-ternative coverage probabilities, and is a highest posterior density matching prior.
Sang Gil Kang, Dal Ho Kim, Woo Dong Lee
openaire +1 more source
Logistic model for stock market bubbles and anti-bubbles [PDF]
, 2017 Log-periodic power laws often occur as signatures of impending criticality of hierarchical systems in the physical sciences. It has been proposed that similar signatures may be apparent in the price evolution of financial markets as bubbles and the ...
Lynch, Christopher, Mestel, Benjamin
core +1 more source
Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models [PDF]
, 2020 Penalization of the likelihood by Jeffreys' invariant prior, or by a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models.
Firth, David, Kosmidis, Ioannis
core +2 more sources