Zobrazeno 1 - 10
of 921
pro vyhledávání: '"categorical variables"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7466 (2024)
Neural network models, such as BP, LSTM, etc., support only numerical inputs, so data preprocessing needs to be carried out on the categorical variables to convert them into numerical data. For unordered multi-categorical variables, existing encoding
Externí odkaz:
https://doaj.org/article/b924febaffbe4840a5c210bd61620417
Publikováno v:
Algorithms, Vol 17, Iss 8, p 323 (2024)
Conditional Independence (CI) testing is fundamental in statistical analysis. For example, CI testing helps validate causal graphs or longitudinal data analysis with repeated measures in causal inference. CI testing is difficult, especially when test
Externí odkaz:
https://doaj.org/article/e3cf36c97c7f4818ac4eae633ce25f0c
Autor:
Yang Yi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Based on the LISEREL model and the characteristics of ordered categorical variables, this paper establishes a structural equation model with ordered categorical variables to study the cultivation effect of e-commerce management talents under F2C mode
Externí odkaz:
https://doaj.org/article/6722b79844af4bccbd0960aa207a31e8
Publikováno v:
Scientific Annals of Economics and Business, Vol 70, Iss 1, Pp 71-81 (2023)
Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss th
Externí odkaz:
https://doaj.org/article/511b104473244c0bae6f6520226de66f
Publikováno v:
Scientific Annals of Economics and Business. 70(1):71-81
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1107140
Autor:
George Valakas, Konstantinos Modis
Publikováno v:
Applied Computing and Geosciences, Vol 19, Iss , Pp 100130- (2023)
Plurigaussian simulation is widely used to model geological facies in geosciences and is predominantly applied in mineral deposits and petroleum reservoirs exploration. GeoSim package builds geostatistical models of categorical regionalized variables
Externí odkaz:
https://doaj.org/article/18805127accf44afac5f0dc69e7ed279
Akademický článek
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Autor:
Jaroslav Horníček, Hana Řezanková
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 102, Iss 3, Pp 249-260 (2022)
Dealing with missing data is a crucial part of everyday data analysis. The IMIC algorithm is a missing data imputation method that can handle mixed numerical and categorical datasets. However, the categorical data are crucial for this work. This pape
Externí odkaz:
https://doaj.org/article/932145c024804d2ea9f7e928e628f701
Publikováno v:
IEEE Access, Vol 10, Pp 83249-83264 (2022)
Introduction: The precise estimation of software effort is a significant difficulty that project managers encounter during software development. Inaccurate forecasting leads to either overestimating or underestimating software effort, which can be de
Externí odkaz:
https://doaj.org/article/33ec5aab4db345c8a859f5bf0c4dfffe
Autor:
Prabhat Ranjan, Sanjeet Singh
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 6, Iss 6, Pp 1518-1532 (2021)
This paper focuses on the Data Envelopment Analysis (DEA) based efficiency evaluation to find the impact of two-step categorical impact on the enrollment efficiency of colleges in Bihar, one of the largest states of India. The objective of the study
Externí odkaz:
https://doaj.org/article/42081a0a73be465e910c8651599ec9d0