Results 51 to 60 of about 409,081 (168)

PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms.

PLoS ONE
Software reliability growth models (SRGMs) are universally admitted and employed for reliability assessment. The process of software reliability analysis is separated into two components.
Vishal Pradhan, Arijit Patra, Ankush Jain, Garima Jain, Ajay Kumar, Joydip Dhar, Anjan Bandyopadhyay, Saurav Mallik, Naim Ahmad, Ahmed Said Badawy   +9 more
doaj   +1 more source

Estimating varying parameters in dynamical systems: a modular framework using switch detection, optimization and sparse regression [PDF]

Royal Society Open Science
The estimation of static parameters in dynamical systems is well-established, but challenges remain for systems with parameters that vary over time or space. Assuming prior knowledge of the system’s dynamics, we aim to identify functions describing these
Jamiree M. Harrison, Enoch Yeung
doaj   +1 more source

Statistics with estimated parameters

, 2007
Summary: This paper studies a general problem of making inferences for functions of two sets of parameters where, when the first set is given, there exists a statistic with a known distribution. We study the distribution of this statistic when the first set of parameters is unknown and is replaced by an estimator. We show that under mild conditions the
YANG, Zhenlin, TSE, Yiu Kuen, Bai, Zhidong   +2 more
openaire   +1 more source

Estimation by Ranking Parameters

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1966
Summary It is shown that a linear ordering of the parameter space is a useful generalization of classical estimates, and that for a certain class of loss functions, Bayes decision procedures lead to very simple linear orderings.
openaire   +2 more sources

Parameter Estimation for Gibbs Distributions

ACM Transactions on Algorithms
A central problem in computational statistics is to convert a procedure for sampling combinatorial objects into a procedure for counting those objects, and vice versa. We consider sampling problems coming from Gibbs distributions , which are families of probability ...
David G. Harris 0001, Vladimir Kolmogorov   +1 more
openaire   +5 more sources

Comparison of estimation limits for quantum two-parameter estimation

Physical Review Research
Measurement estimation bounds for local quantum multiparameter estimation, which provide lower bounds on possible measurement uncertainties, have so far been formulated in two ways: by extending the classical Cramér-Rao bound (e.g., the quantum Cramér ...
Simon K. Yung, Lorcán O. Conlon, Jie Zhao, Ping Koy Lam, Syed M. Assad   +4 more
doaj   +1 more source

3-PARAMETER WEIBULL DISTRIBUTION ESTIMATION BASED ON GM AND SVM

Jixie qiangdu, 2018
Aiming at the fact that the 3-parameter Weibull distribution model is complex and traditional methods have a low accuracy rate in the case of small samples,a new parameter estimation method based on GM-SVM was proposed. Grey model（ GM） and support vector
GAO Bin, CAO KeQiang, HU LiangMou, LI ShuGuang   +3 more
doaj  

From body hulls to musculoskeletal models: Personalized inertial parameter estimation. [PDF]

PLoS One
Gambietz M, Azam PQ, Amon P, Wechsler I, Hille EM, Menzel T, Ott T, Botsch M, Braun M, Miehling J, McMahon KL, Koelewijn AD.   +11 more
europepmc   +1 more source

A Practical Identifiability Criterion Leveraging Weak-Form Parameter Estimation. [PDF]

Bull Math Biol
Heitzman-Breen N, Dukic V, Bortz DM.
europepmc   +1 more source

In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]

Sci Rep
Göztaş M, Sahman MA, Çunkaş M.
europepmc   +1 more source