Results 11 to 20 of about 10,513,869 (302)

The Chi-square test of independence [PDF]

Biochemia Medica, 2013
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data.
McHugh ML.
openaire   +3 more sources

Multi-Sensor Fusion with Interaction Multiple Model and Chi-Square Test Tolerant Filter [PDF]

Sensors, 2016
Motivated by the key importance of multi-sensor information fusion algorithms in the state-of-the-art integrated navigation systems due to recent advancements in sensor technologies, telecommunication, and navigation systems, the paper proposes an ...
Chun Yang, Arash Mohammadi, Qing-Wei Chen   +2 more
doaj   +2 more sources

Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic [PDF]

Psychometrika, 2010
moment-structures, goodness-of-fit test, chi-square difference test statistic, chi-square distribution, nonnormality,
Bentler, Peter M., Peter Bentler, Albert Satorra, Satorra, Albert, Peter M. Bentler   +4 more
core   +2 more sources

Practical guide to calculate sample size for chi-square test in biomedical research [PDF]

BMC Medical Research Methodology
In biomedical research, the calculation of sample size is a critical component of study design. Adequate sample size ensures the reliability of statistical tests, including the chi-square test.
Hanif Abdul Rahman, ⁠Amirul Ariffin Noraidi, ⁠Amal Nadhirah Hj Khalid, ⁠Alanna Zawani Mohamad-Adam, Nurrabiatul Haziqah Zahari, Nurezzah Ezzaty Tuming   +5 more
doaj   +2 more sources

Chi-square difference test.

, 2022
Chi-square difference test.
Yuen Yee Yen (13141043), Loo Wee Hong (13141049), P. H. P. Yeow (13141046)   +2 more
core   +1 more source

Chi-square test results.

, 2022
Chi-square test results.
Eugenia Rostańska (12407506), Magdalena Bsoul-Kopowska (12407503), Singha Chaveesuk (12407500), Wornchanok Chaiyasoonthorn (12407509), Bilal Khalid (1375362)   +4 more
core   +1 more source

What outage attributes affect the frequencies of forced transformer outages in Eskom regions? Evidence from 2007–2016 data

Energy Reports, 2020
In this paper, the authors present a novel approach to the study of the frequency of forced outages in various operating units, or regions of Eskom, using statistical techniques.
Nhlanhla Mbuli, Bongumsa Mendu, Modisane Seitshiro, Jan-Harm C. Pretorius   +3 more
doaj   +1 more source

Chi-square and Cramer’s V test results.

, 2021
Chi-square and Cramer’s V test results.
Yisheng Liu (11268411), Xintong Li (3110796), Zhicheng Cao (9015497), Dan Su (8007)   +3 more
core   +1 more source

On the Mistaken Use of the Chi-Square Test in Benford’s Law

Stats, 2021
Benford’s Law predicts that the first significant digit on the leftmost side of numbers in real-life data is distributed between all possible 1 to 9 digits approximately as in LOG(1 + 1/digit), so that low digits occur much more frequently than high ...
Alex Ely Kossovsky
doaj   +1 more source

Chi-Square test for independence

, 2023
Cara mengutipRajeg, Gede Primahadi Wijaya (2023). Chi-Square test for independence. figshare. Presentation. https://doi.org/10.6084/m9.figshare.24763758DeskripsiSalindia perkuliahan untuk mata kuliah Linguistik Korpus pada Program Studi Doktor Linguistik,
Gede Primahadi Wijaya Rajeg (3375653)
core   +1 more source