Results 61 to 70 of about 21,655,635 (191)
Clustering large mixed-type data with ordinal variables
One of the most frequently used algorithms for clustering data with both numeric and categorical variables is the k-prototypes algorithm, an extension of the well-known k-means clustering.
G. Szepannek +2 more
semanticscholar +1 more source
The Issue of Using Ordinal Quantities to Estimate the Vulnerability of Seabirds to Oil Spills
Oil spills can have a serious negative effect on seabirds. Numerous studies have been carried out for relative vulnerability assessment of seabirds to oil, with the majority of such works based on ordinal quantities.
Anatoly Shavykin, Andrey Karnatov
doaj +1 more source
According to the Federal Reserve of the United States, in the second quarter of 2024, American credit card debt reached USD 1.14 trillion, the highest balance ever recorded.
Christos I. Giannikos +1 more
doaj +1 more source
Response style corrected market segmentation for ordinal data
Survey data collected for market segmentation studies is typically ordinal in nature. As such, it is susceptible to response styles. Ignoring response styles can lead to market segments which do not differ in beliefs, but merely in how segment members ...
Bettina Grün, S. Dolnicar
semanticscholar +1 more source
Penerapan Metode Suksesif Interval pada Analsis Regresi Linier Berganda
Dalam menggunakan model regresi linier disyaratkan data yang digunakan hendaknya berskala interval atau rasio. Akan tetapi jika skala dalam bentuk ordinal tetap dipaksakan menggunakan model regresi linier, maka akan diperoleh koefisien korelasi yang ...
Setia Ningsih, Hendra H. Dukalang
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Ordinal Patterns, Entropy, and EEG
In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-world data and, especially, of electroencephalogram (EEG) data. We apply already known (empirical permutation entropy, ordinal pattern distributions) and new
Karsten Keller +2 more
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Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates
Zahra Torkashvand +3 more
doaj
This research was conducted to determine the variables that significantly influence nutritional status of children based on indicators that defined as height for age (H/A) and to classify children nutritional status into normal, short or very short ...
PALUPI PURNAMA SARI +2 more
doaj +1 more source
Accuracy versus convenience: A simulation-based comparison of two continuous imputation models for incomplete ordinal longitudinal clinical trials data [PDF]
Anup Amatya +6 more
openalex +1 more source
ANALISIS REGRESI LOGISTIK ORDINAL
Pendidikan adalah salah satu faktor yang mempengaruhi pembangunan manusia. Salah satu faktor yang menunjang baik atau tidaknya pendidikan adalah sekolah. Baik atau tidaknya mutu suatu sekolah dinyatakan dengan akreditasi sekolah.
Thomas Pentury +2 more
doaj +1 more source

