Results 31 to 40 of about 13,830,927 (82)
A guide to modern statistical analysis of immunological data. [PDF]
, 2007 BACKGROUND: The number of subjects that can be recruited in immunological studies and the number of immunological parameters that can be measured has increased rapidly over the past decade and is likely to continue to expand.
Barreto, Mauricio L +14 more
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Nonparametric Inference for Unbalanced Time Series Data [PDF]
This paper is concerned with the practical problem of conducting inference in a vector time series setting when the data is unbalanced or incomplete. In this case, one can work only with the common sample, to which a standard HAC/Bootstrap theory applies,
Oliver Linton
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Nonparametric Tests for Serial Independence Based on Quadratic Forms [PDF]
Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis.
Panchenko, V., Diks, C.G.H.
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Nonparametric inference for unbalance time series data [PDF]
Estimation of heteroskedasticity and autocorrelation consistent covariance matrices (HACs) is a well established problem in time series. Results have been established under a variety of weak conditions on temporal dependence and heterogeneity that allow ...
Oliver Linton
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Microdata Disclosure by Resampling: Empirical Findings for Business Survey Data [PDF]
A problem statistical offices and research institutes are faced with by releasing micro-data is the preservation of confidentiality. Traditional methods to avoid disclosure often destroy the structure of data, i.e., information loss is potentially high ...
Gottschalk, Sandra
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Statistical measures for evaluation of methods for syndromic surveillance [PDF]
, 2003 Introduction In syndromic surveillance there is a need for continual observation of one or more time series, with the goal of detecting an important change in the underlying process as soon as possible after it has occurred.
Frisén, Marianne
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NP-optimal kernels for nonparametric sequential detection rules [PDF]
An attractive nonparametric method to detect change-points sequentially is to apply control charts based on kernel smoothers. Recently, the strong convergence of the associated normed delay associated with such a sequential stopping rule has been studied
Steland, Ansgar
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MatchIt: Nonparametric Preprocessing for Parametric Causal Inference [PDF]
MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods.
Elizabeth A. Stuart +3 more
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Some nonparametric diagnostic Statistical procedures and their asymptotic behavior. [PDF]
In this thesis some new, nonparametric methods are introduced to explore uni- or bivariate data. First, we introduce the "shorth plot", a graphical method to depict the main features of one-dimensional probability distributions.
Gantner, M.
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A note on the Bandwidth choice when the null hypothesis is semiparametric [PDF]
This work presents a tool for the additivity test. The additive model is widely used for parametric and semiparametric modeling of economic data. The additivity hypothesis is of interest because it is easy to interpret and produces reasonably fast ...
Jorge Barrientos Marín
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