Results 21 to 30 of about 1,751,067 (274)

Categorical Exploratory Data Analysis: From Multiclass Classification and Response Manifold Analytics Perspectives of Baseball Pitching Dynamics

Entropy, 2021
All features of any data type are universally equipped with categorical nature revealed through histograms. A contingency table framed by two histograms affords directional and mutual associations based on rescaled conditional Shannon entropies for any ...
Fushing Hsieh, Elizabeth P. Chou
doaj   +1 more source

Practice of Environmentally Significant Behaviours in Rural China: From Being Motivated by Economic Gains to Being Motivated by Environmental Considerations

Behavioral Sciences, 2017
A continuous and increasing crisis that present-day China is facing is environmental degradation. The cultivation of citizens who have environmentally friendly behaviours has been deemed as a fundamental way to solve environmental crises.
Yanyan Chen
doaj   +1 more source

Multivariate Analysis of Mixed Data: The R Package PCAmixdata [PDF]

, 2017
Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
Chavent, Marie, Kuentz-Simonet, Vanessa, Labenne, Amaury, Saracco, Jérôme   +3 more
core   +5 more sources

How can the unnaturalness of cellular agricultural products be familiarized?: Modeling public attitudes toward cultured meats in Japan

Frontiers in Sustainable Food Systems, 2023
IntroductionThis study aims to clarify how the unnaturalness of cellular agricultural products can be familiarized to society, using the case of the Japanese public's receptivity to cultured meats. Perceived unnaturalness is a key factor in the rejection
Aiko Hibino, Futoshi Nakamura, Mai Furuhashi, Mai Furuhashi, Shoji Takeuchi, Shoji Takeuchi   +5 more
doaj   +1 more source

Clustering categorical data based on the relational analysis approach and MapReduce

Journal of Big Data, 2017
The traditional methods of clustering are unable to cope with the exploding volume of data that the world is currently facing. As a solution to this problem, the research is intensified in the direction of parallel clustering methods. Although there is a
Yasmine Lamari, Said Chah Slaoui
doaj   +1 more source

The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development [PDF]

, 2014
Firstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency
Bivand, Roger S., Kossowski, Tomasz, Pietrzak, Michał B., Wilk, Justyna   +3 more
core   +2 more sources

Categorical linkage‐data analysis

Statistics in Medicine
Analysis of integrated data often requires record linkage in order to join together the data residing in separate sources. In case linkage errors cannot be avoided, due to the lack a unique identity key that can be used to link the records unequivocally, standard statistical techniques may produce misleading inference if the linked data are treated as ...
Li‐Chun Zhang, Tiziana Tuoto
openaire   +2 more sources

EarlyR: A Robust Gene Expression Signature for Predicting Outcomes of Estrogen Receptor–Positive Breast Cancer [PDF]

, 2018
Introduction Early stage estrogen receptor (ER)-positive breast cancer may be treated with chemotherapy in addition to hormone therapy. Currently available molecular signatures assess the risk of recurrence and the benefit of chemotherapy; however ...
Badve, Sunil S., Buechler, Steven A., Gökmen-Polar, Yesim   +2 more
core   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

The Problem of Zero Cells in the Analysis of Contingency Tables

Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2015
Log-linear analysis is a statistical tool used to analyse the independence of categorical data in contingency tables. With this method, any number of nominal or ordinal variables can be analysed: interactions can be included in the model, various types ...
Justyna Brzezińska
doaj   +1 more source