Non-Standard Parameter Adaptation for Exploratory Data Analysis
نویسندگان
چکیده
Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book non standard parameter adaptation for exploratory data analysis. It is so usual with the printed books. However, many people sometimes have no space to bring the book for them; this is why they can't read the book wherever they want.
منابع مشابه
Psychometric Properties of the Persian Version of the Psychological Adaptation Scale
Introduction: Adaptation to critical situations and psychological trauma is considered as one of the issues which has attracted a lot of attention. Thus, designing a reliable and valid scale for the studies conducted in Iran is inevitable. The present study aimed to design the Persian version of the Psychological Adaptation Scale and evaluate its psychometric feature. Method: The sample includ...
متن کاملZero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter. Moreover, zero-inflated models in which overdispersion is assumed to be caused by an excessive number of zeros are discussed. In addition to ZIGP regression introduced by Famoye ...
متن کاملOptimized co-registration method of Spinal cord MR Neuroimaging data analysis and application for generating multi-parameter maps
Introduction: The purpose of multimodal and co-registration In MR Neuroimaging is to fuse two or more sets images (T1, T2, fMRI, DTI, pMRI, …) for combining the different information into a composite correlated data set in order to visualization, re-alignment and generating transform to functional Matrix. Multimodal registration and motion correction in spinal cord MR Neuroimag...
متن کاملExploratory factor analysis - Parameter estimation and scores prediction with high-dimensional data
In an approach aiming at high-dimensional situations,we first introduce a distribution-free approach to parameter estimation in the standard random factor model, that is shown to lead to the same estimating equations asmaximum likelihood estimation under normality. The derivation is considerably simpler, andworks equallywell in the case ofmore variables than observations (p > n).Wenext concentr...
متن کاملLarge-scale Inversion of Magnetic Data Using Golub-Kahan Bidiagonalization with Truncated Generalized Cross Validation for Regularization Parameter Estimation
In this paper a fast method for large-scale sparse inversion of magnetic data is considered. The L1-norm stabilizer is used to generate models with sharp and distinct interfaces. To deal with the non-linearity introduced by the L1-norm, a model-space iteratively reweighted least squares algorithm is used. The original model matrix is factorized using the Golub-Kahan bidiagonalization that proje...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 249 شماره
صفحات -
تاریخ انتشار 2009