location scale
Bivariate copula additive models for location, scale and shape
... for location, scale and shape (GAMLSS), the response dis- tribution is not restricted to belong to the exponential family and all the model’s parameters can be made dependent on additive predictors that ...
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Distribution of future location vector and residual sum of squares for multivariate location-scale model with spherically contoured errors
... where Y f is a p × n f matrix of future responses, l n f is a unit vector of order n f , and E f is a p × n f matrix of future errors. Similar to the error vector of the realized model the future error vector from the ...
14
Inference in two piece location scale models with Jeffreys Priors
... In the case of the reparameterized model in (9), we have a potential problem if one of the scales, say, σa(γ) goes to zero. If then the ratio b(γ)/a(γ) has an upper bound, this will necessarily imply that both scales ...
23
Inference in two piece location scale models with Jeffreys priors
... symmetric location-scale model to allow for skewness, and its repa- rameterized versions as presented in Arellano-Valle et ...a location, a scale and a skewness ...of scale mixture of ...
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Accelerated life testing plans for the stochastic degradation models for censored data using log location scale distribution
... a location-scale distribution and the location parameter is a function of ...unknown location and scale parameters of the log-location-scale family of distributions at ...
6
A location scale based CFAR detection framework for FOPEN SAR images
... In this paper a novel framework for CFAR detection in FOPEN SAR images has been proposed exploiting a multi-model approach. The novel framework exploits a CFAR detection algorithm based on location-scale ...
5
Detecting and understanding interviewer effects on survey data by using a cross classified mixed effects location scale model
... Summary. We propose a cross-classified mixed effects location–scale model for the analysis of interviewer effects in survey data. The model extends the standard two-way cross-classified random-intercept ...
19
Weakly informative reparameterizations for location scale mixtures
... a location-scale parameter, we invoke Jeffreys (1939) to choose a Jeffreys-like prior π(µ, σ) = 1/σ on this parameter, even though we stress this is not the genuine (if ineffective) Jeffreys prior for the ...
33
Equivariance and generalized inference in location-scale family
... in location-scale family for one-sample ...in location- scale ...In location family or scale family case, there is no any nuisance parameter and hence, the GPQ should provide ...
122
Weakly informative reparameterisations for location scale mixtures
... a location-scale mixture with two disjoint ...a location-scale parameter to derive a joint prior distribution on all parameters by taking advantage of compact reparameterisation, which allow ...
32
Threshold quantile autoregressive models
... This model captures systematic influences on the location, scale and shape of the conditional distribution function, and thus, it allows for a significant extension of linear regression [r] ...
31
Robust Estimation via Measurement Error Modeling
... the location-scale family and the error contamination dis- tribution are both symmetric around 0, estimates of µ derived from the likelihoods based on ...However, scale estimates will not be con- ...
102
Flexible distribution modeling with the generalized lambda distribution
... The GLD is an extension of Tukey’s lambda distribution [Hastings et al., 1947; Tukey, 1960, 1962]. Tukey’s lambda distribution is symmetric and is defined by its quantile function. It was introduced to efficiently ...
52
Continental hydrosystem modelling: the concept of nested stream–aquifer interfaces
... larger scale to the finer ...watershed scale is structured around river reaches of ∼ 10–100 ...continental scale, and inves- tigate the usage of remote sensing data, which should im- prove global ...
29
Predicting Location and Time of Anomalies in Large-Scale Computing Systems via Log Mining.
... [ SO08; Yu12; Fu14 ] propose data preprocessing and filtering mechanisms to extract salient features and show symmetry in system and job logs, to improve fault prediction. [ ES13; Sri15 ] study environmental effects on ...
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Imperfection Sensitivity of Nonlinear Vibration of Curved Single-Walled Carbon Nanotubes Based on Nonlocal Timoshenko Beam Theory
... Application of the DQ method is suggested by many researchers for solving eigenvalue problems [30,31]. Indeed, this approach is based on polynomial approximation of a function at any location in the domain. Then ...
17
A Tax Map of Global Professional Service Firms: Where Expert Services are Located and Why
... and private sectors, developing investigative cases into how the Big Four operate is important for knowing what claims they make and can be made against them. Our mapping of their scale and activities, as well as ...
27
Browse Title Index
... The location evaluation of purpose-built office (PBO) has increase in complexity with the addition of sustainability dimension in the ...business location for ...
8
A Location-Adaptive Key Establishment Scheme for Large-Scale Distributed Wireless Sensor Networks
... new location-adaptive key establishment scheme which is an improved alterna- tive to the path key establishment in order to establish pairwise keys between neighbor sensor ...
9
Location, location, location: how to invest effectively in the improvement of location identity
... While the construction industry is one of the largest industries in the world, the current research in this industry is mainly focused on the behaviour of firms (Taylor and Levit, 2005) and little attention is paid to ...
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