Applied Univariate, Bivariate, and Multivariate Statistics
نویسندگان
چکیده
منابع مشابه
Asymmetric Univariate and Bivariate Laplace and Generalized Laplace Distributions
Alternative specifications of univariate asymmetric Laplace models are described and investigated. A more general mixture model is then introduced. Bivariate extensions of these models are discussed in some detail, with particular emphasis on associated parameter estimation strategies. Multivariate versions of the models are briefly introduced.
متن کاملApplied Multivariate Statistics for Ecological Data ECO632
Background. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Provided Data Set. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Exercise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
متن کاملApplied Multivariate Statistics for Ecological Data ECO632
The purpose of this lab exercise is to get to know your data set and, in particular, screen for irregularities (e.g., outliers) and transform and/or standardize data if appropriate. Data screening is an essential precursor to all statistical analyses and data transformations and standardizations are commonly applied prior to many techniques. Note, all data sets are unique and thus the procedure...
متن کاملBivariate and Multivariate Functions
For functions depending on two variables, we automatically construct tri6 angulations subject to the condition that the continuous, piecewise linear approxi7 mation, underor overestimation never deviates more than a given δ -tolerance from 8 the original function over a given domain. This tolerance is ensured by solving sub9 problems over each triangle to global optimality. The continuous, piec...
متن کاملUnivariate and Multivariate Merit Factors
Merit factor of a binary sequence is reviewed, and constructions are described that appear to satisfy an asymptotic merit factor of 6.3421 . . .Multivariate merit factor is characterised and recursive Boolean constructions are presented which satisfy a non-vanishing asymptote in multivariate merit factor. Clifford merit factor is characterised as a generalisation of multivariate merit factor an...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2016
ISSN: 1548-7660
DOI: 10.18637/jss.v072.b02