نتایج جستجو برای: variable autocorrelation statistical methods ultimately

تعداد نتایج: 2363820  

ژورنال: اندیشه آماری 2012
Mohammadpour, Mehrnaz, Rezanezhad , Fereshte,

The sample autocorrelation function (acf) of a stationary process has played a central statistical role in traditional time series analysis, where the assumption is made that the marginal distribution has a second moment. Now, the classical methods based on acf are not applicable in heavy tailed modeling. Using the codifference function as dependence measure for such processes be shown it be as...

Journal: :Banach Center Publications 1984

Journal: :Journal of the Royal Statistical Society 1934

2017
Polycarp Mogeni Irene Omedo Christopher Nyundo Alice Kamau Abdisalan Noor Philip Bejon

BACKGROUND Malaria transmission intensity is heterogeneous, complicating the implementation of malaria control interventions. We provide a description of the spatial micro-epidemiology of symptomatic malaria and asymptomatic parasitaemia in multiple sites. METHODS We assembled data from 19 studies conducted between 1996 and 2015 in seven countries of sub-Saharan Africa with homestead-level ge...

2000
Idris A. Eckley Guy P. Nason

Discrete autocorrelation wavelets have recently been applied in the statistical analysis of locally stationary time series. This form of time series analysis also requires the construction of the inner product matrix of such wavelets. To date, both discrete autocorrelation wavelets and the inner product matrix have been constructed via a brute force technique which proves to be computationally ...

Journal: :Research and Practice in Thrombosis and Haemostasis 2018

Journal: :Australasian J. Combinatorics 2004
L. Burnett William Millan Ed Dawson Andrew J. Clark

We present two heuristic optimisation methods for generating N -variable boolean functions which exhibit particular cryptographic properties. Each method targets one or more properties and consistently produces a large number of N -variable boolean functions with those properties. The first method presented is shown to outperform any other heuristic technique previously reported, in terms of ge...

Journal: :NeuroImage 2004
Temujin Gautama Marc M Van Hulle

In the General Linear Model (GLM) framework for the statistical analysis of fMRI data, the problem of temporal autocorrelations in the residual signal (after regression) has been frequently addressed in the open literature. There exist various methods for correcting the ensuing bias in the statistical testing, among which the prewhitening strategy, which uses a prewhitening matrix for rendering...

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