Statistical Modeling via Bootstrapping and Weighted Techniques Based on Variances
نویسندگان
چکیده
منابع مشابه
compactifications and function spaces on weighted semigruops
chapter one is devoted to a moderate discussion on preliminaries, according to our requirements. chapter two which is based on our work in (24) is devoted introducting weighted semigroups (s, w), and studying some famous function spaces on them, especially the relations between go (s, w) and other function speces are invesigated. in fact this chapter is a complement to (32). one of the main fea...
15 صفحه اولBootstrapping Phrase-based Statistical Machine Translation via WSD Integration
Beside the word order problem, word choice is another major obstacle for machine translation. Though phrase-based statistical machine translation (SMT) has an advantage of word choice based on local context, exploiting larger context is an interesting research topic. Recently, there have been a number of studies on integrating word sense disambiguation (WSD) into phrase-based SMT. The WSD score...
متن کاملLocal Statistical Modeling via Cluster-Weighted Approach with Elliptical Distributions
Cluster Weighted Modeling (CWM) is a mixture approach regarding the modelisation of the joint probability of data coming from a heterogeneous population. Under Gaussian assumptions, we investigate statistical properties of CWM from both the theoretical and numerical point of view; in particular, we show that CWM includes as special cases mixtures of distributions and mixtures of regressions. Fu...
متن کاملSurrogate Modeling Based on Statistical Techniques for Multi - fidelity Optimization
Designing and optimizing complex systems generally requires the use of numerical models. However, it is often too expensive to evaluate these models at each step of an optimization problem. Instead surrogate models can be used to explore the design space, as they are much cheaper to evaluate. Constructing a surrogate becomes challenging when different numerical models are used to compute the sa...
متن کاملBootstrapping Techniques in Statistical Analysis and Approaches in R MATH
The true probability distribution of a test statistic is rarely known. Generally, its asymptotic law is used as approximation of the true law. If the sample size is not large enough, the asymptotic behavior of that statistic could lead to a poor approximation of the true one. Using bootstrap methods, under some regularity conditions, it is possible to obtain a more accurate approximation of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2018
ISSN: 1792-8036,2241-4487
DOI: 10.48084/etasr.2126