Generalization of Homogeneity Tests for Weighted Samples and Their Implementation in ROOT

This chapter aims to establish the present understanding and commonality with the variables that affect e-business allocation. The model was tried with 200 Malaysian respondents as an example. The questionnaires were distributed to SME business visionaries in a variety of sectors. Additionally, a role connection for the extent of exposure to e-business appropriation was constructed. Data analysis was undertaken using various perspectives, ordinary tests, homogeneity tests, relationship tests, ANOVA, multicollinearity, and study estimation techniques, including chi-square. The findings indicated that each of the quantifiable variables had an effect on SMEs entrepreneurs' decision to engage in e-commerce.

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Asymptotic Efficiency of Nonparametric Homogeneity Tests

Asymptotic Efficiency of Nonparametric Tests ◽

10.1017/cbo9780511530081.004 ◽

1995 ◽

pp. 94-126

Keyword(s):

Asymptotic Efficiency ◽

Homogeneity Tests

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Homogeneity tests of Tiebout sorting: A case study at the interface of city and suburb

Urban Studies ◽

10.1177/0042098015571808 ◽

2015 ◽

Vol 53 (5) ◽

pp. 1000-1021

Author(s):

Lee Hachadoorian

Keyword(s):

Homogeneity Tests ◽

Tiebout Sorting

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Homogeneity tests and non-parametric analyses of tendencies in precipitation time series in Keszthely, Western Hungary

Theoretical and Applied Climatology ◽

10.1007/s00704-019-03014-4 ◽

2019 ◽

Vol 139 (3-4) ◽

pp. 849-859 ◽

Cited By ~ 4

Author(s):

Tímea Kocsis ◽

Ilona Kovács-Székely ◽

Angéla Anda

Keyword(s):

Time Series ◽

Change Points ◽

Annual Precipitation ◽

Trend Test ◽

Climate Data ◽

Homogeneity Tests ◽

Break Points ◽

The Mean ◽

Parametric Analyses ◽

Precipitation Records

Abstract This study aims to investigate the precipitation trends in Keszthely (Western Hungary, Central Europe) through an examination of historical climate data covering the past almost one and a half centuries. Pettitt’s test for homogeneity was employed to detect change points in the time series of monthly, seasonal and annual precipitation records. Change points and monotonic trends were analysed separately in annual, seasonal and monthly time series of precipitation. While no break points could be detected in the annual precipitation series, a significant decreasing trend of 0.2–0.7 mm/year was highlighted statistically using the autocorrelated Mann-Kendall trend test. Significant change points were found in those time series in which significant tendencies had been detected in previous studies. These points fell in spring and winter for the seasonal series, and October for the monthly series. The question therefore arises of whether these trends are the result of a shift in the mean. The downward and upward shift in the mean in the case of spring and winter seasonal amounts, respectively, leads to a suspicion that changes in precipitation are also in progress in these seasons. The study concludes that homogeneity tests are of great importance in such analyses, because they may help to avoid false trend detections.

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