Results 11 to 20 of about 573,190 (190)

Graphical Methods in Statistics [PDF]

open access: yesThe American Statistician, 1979
Abstract Graphical methods have played a central role in the development of statistical theory and practice. This presentation briefly reviews some of the highlights in the historical development of statistical graphics and gives a simple taxonomy that can be used to characterize the current use of graphical methods.
Stephen E Fienberg
openaire   +3 more sources

Extending GroupStruct2: a Bayesian and machine-learning framework for testing taxonomic hypotheses using morphometric data. [PDF]

open access: yesZookeys
Despite considerable advances in statistical methods, taxonomic delimitation using morphometric data (morphometric delimitation) has not significantly progressed beyond the use of simple summary statistics or univariate tests to quantify differences ...
Chan KO, Grismer LL.
europepmc   +4 more sources

Publication bias: Graphical and statistical methods [PDF]

open access: yesAmerican Journal of Orthodontics and Dentofacial Orthopedics, 2021
Various statistical approaches and visual tools have been developed to detect, estimate, and evaluate the impact of publication bias in meta-analysis results. In this article, we present the most popular statistical methods and graphic tools to address publication bias using an example.
Loukia M, Spineli, Nikolaos, Pandis
openaire   +2 more sources

Statistical methods used in the public health literature and implications for training of public health professionals. [PDF]

open access: yesPLoS ONE, 2017
Statistical literacy and knowledge is needed to read and understand the public health literature. The purpose of this study was to quantify basic and advanced statistical methods used in public health research.
Matthew J Hayat   +3 more
doaj   +1 more source

The communicability of graphical alternatives to tabular displays of statistical simulation studies. [PDF]

open access: yesPLoS ONE, 2011
Simulation studies are often used to assess the frequency properties and optimality of statistical methods. They are typically reported in tables, which may contain hundreds of figures to be contrasted over multiple dimensions.
Alex R Cook, Shanice W L Teo
doaj   +1 more source

The debate on the standardization of statistical maps and diagrams (1857-1901). Elements of the history of graphical semiotics

open access: yesCybergeo, 1999
This article explores the efforts of statisticians to standardize their graphical methods, diagrams and maps, in their international congresses, then in the International Institute of Statistics.
Gilles Palsky
doaj   +1 more source

FABACEAE AS AN ALTERNATIVE SOURCE OF PROTEIN IN THE PRODUCTION OF COMPOUND FEEDS IN THE OPINION OF POULTRY PRODUCERS AND PIG PRODUCERS [PDF]

open access: yesAnnals of the Polish Association of Agricultural and Agribusiness Economists, 2022
This article aims to assess the feasibility of using native legumes as alternative sources of protein in compound feeds by poultry producers and pig producers.
Magdalena Śmiglak-Krajewska
doaj   +1 more source

Graphical Methods in Statistical Analysis [PDF]

open access: yesAnnual Review of Public Health, 1987
The idea of graphical presentation of statistical data is a relatively recent development as compared with geometry , algebra, or even probability theory (18). The techniques of graphical presentation of data are still rapidly de­ veloping, as statistical theory opens new ways of thinking about data, and as using the capabilities of modem computers ...
openaire   +2 more sources

Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses [PDF]

open access: yes, 2013
We investigate the relationship between the structure of a discrete graphical model and the support of the inverse of a generalized covariance matrix. We show that for certain graph structures, the support of the inverse covariance matrix of indicator ...
Loh, Po-Ling, Wainwright, Martin J.
core   +3 more sources

Using simulation studies to evaluate statistical methods [PDF]

open access: yes, 2018
Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour of statistical methods because some 'truth' (usually some parameter/s of ...
Chang M   +5 more
core   +2 more sources

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