The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 89-126
Full Name: Ahmet Sezer
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Anadolu university Department of statistics Eskiþehir
Country: TURKEY
Tel:
Tel prefix:
Fax:
E-mail address: a.sezer@anadolu.edu.tr
Other E-mails:
Title of the Paper: comparison of lspline approximation with the modified likelihoods in the presence of nuisance paarmeter
Authors as they appear in the Paper:
Email addresses of all the authors:
Number of paper pages: 11
Abstract: The likelihood functions from independent studies can be easily combined, and the combined likelihood function serves as a meaningful indication of the support the observed data give to the various parameter values. This fact has led many scientists to suggest using the likelihood function as a summary of post-data uncertainty concerning the parameter. Indeed, likelihood functions have several desired properties . They are objective, in that they depend only on the agreed-upon model and the data. They are also flexible, allowing us to combine information about competing models across studies. However, a serious difficulty arises because likelihood functions may not be expressible in a compact, easily-understood mathematical form suitable for communication or publication. For example, likelihood functions in mixture models may only be computable for individual values of the parameters and otherwise cannot be given in "closed form". To overcome this diffic!
ulty, we propose to approximate log- likelihood functions by using piecewise polynomials governed by a minimal number of parameters
Keywords: Likelihood Approximation Nuisance Parameter Function
EXTENSION of the file: .pdf
Special (Invited) Session: Assessing The quality of the Natural Cubic spline Approximation
Organizer of the Session: 626-267
How Did you learn about congress:
IP ADDRESS: 193.140.190.124