Correlation analysis for data with skewed distributions
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
... ble data streams but cannot handle well rather skewed ...stochastic distributions, which are typical in many data stream ap- ...mine data streams by estimating reliable posterior prob- ...
12
Bayesian Inference on Mixed-effects Models with Skewed Distributions for HIV longitudinal Data
... model analysis (Laird and Ware, 1982), the correlation due to clus- tered/repeated measures on a subject is usually accounted for through the inclusion of random- effects and within-subject measurement ...
127
Canonical Correlation Analysis for Longitudinal Data
... time correlation while the other tests to determine if one of the variables does not truly have a correlation in ...multivariate data taken independently in ...
132
Bayesian Multivariate Regression Analysis with a New Class of Skewed Distributions
... of skewed multivariate distributions and, more gener- ally, a method of building such a class on the basis of univariate skewed ...a skewed distribution. Our proposed class of multivariate ...
29
FITTING INSURANCE CLAIMS TO SKEWED DISTRIBUTIONS: ARE
... empirical data considered ...empirical data, we perform a Kolmogorov Smirnov goodness-of-fit ...The distributions that meet these criteria are shown in bold in Table ...eight distributions ...
31
A Constructive Representation of Univariate Skewed Distributions
... We believe that the definition of useful and realistic classes of skewing mechanisms is still partly an open question, and that it should be the focus of some debate. Of course, it depends on the particular data ...
25
Sample size calculations for skewed distributions
... available data. More generally, gamma GLMs are commonly used for analysis of data on costs and length of stay in health fa- cilities ...cost data, analysis of arithmetic mean is ...
9
Adjusted Sequential Fences for Detecting Univariate Outliers in Skewed Distributions
... normal distributions but problems arise with the construction of sequential fences in skewed ...uncontaminated data will fall beyond the fence at heavy tail whereas regular data from light ...
9
Impact of Less Skewed Distributions on Efficiency and Effectiveness of Biomedical Relation Extraction
... [email protected], [email protected] Abstract Like in other NLP tasks, it has been claimed that advances of machine learning (ML) based approaches to relation extraction (RE) are hampered by the imbalanced distribution of ...
12
Left‑Censored Samples from Skewed Distributions: Statistical Inference and Applications
... of skewed type I left‑censored distributions, specifically the exponential and the Weibull ...two data sets of elemental carbon concentration ...
8
Modeling Insurance Claims Using Flexible Skewed and Mixture Probability Distributions
... real data, but it may not be suitable if the assumed distribution deviates from ...Flexible skewed distributions are capable of including skewness and taking into account ...appropriate ...
18
Statistical models for the analysis of skewed healthcare cost data: a simulation study
... The aim of this study was to investigate how well these alternative estimators perform in terms of bias and precision when the data are skewed. The primary outcome was an estimation of population means of ...
16
Model Comparison of Coordinate-Free Multivariate Skewed Distributions with an Application to Stochastic Frontiers
... 7.5 Results Table 1 presents the logarithm of the Bayes factors for the different models with respect to the symmetric Normal alternative. A positive value for an entry indicates support in favour of that alternative. ...
25
Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
... The synthetic control charts for variables data and the other commonly used control charting techniques such as the X , EWMA and CUSUM charts all depend on the [r] ...
37
Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis
... We have proposed a generalization of the Hosking-Wallis procedure that uses trimmed L- moments and copula models to overcome the known disadvantages when highly-skewed or cross-correlated data occurs. First ...
28
Learning with Skewed Class Distributions
... imbalanced data sets is an important issue in Machine Learn- ...class distributions artificially does not have much effect on the performance of the induced classifier, since some learning systems are not ...
9
Correlation Analysis of Two Skewed Dipoles Using Embedded Beam Patterns
... 3. CORRELATION ANALYSIS FOR VARIOUS ENVIRONMENTS AND EACH POLARIZATION Antenna diversity is a well-known technique for reducing the effects of the fading ...The correlation analysis between the ...
16
Coalescent Processes with Skewed Offspring Distributions and Nonequilibrium Demography
... sequence data from Japanese sardine populations, and find evidence of high variation in individual reproductive success, but few signs of a recent demographic ...
16
4 Statistical distributions DATA ANALYSIS
... Every day in the media you will find examples of multiple displays describing data sets. A company director compares this year’s figures with those of previous years. Medical researchers compare the effects of a ...
38
Category effects on stimulus estimation: Shifting and skewed frequency distributions A reexamination
... the analysis summarized in Table 4, here we do not find evidence of a significant increase in the Current mean bias over ...examine data from both halves of the ...
41