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By Dias J.G., Vermunt J.K.

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This prompted the government to include the expansion of creative and innovative workforce and businesses in the iN2015 plan. Third, Singapore’s language policy strongly emphasizes English, even though many citizens speak other native languages such as Chinese, Malay, and Indian languages. Even for English, the government has authorized moving away from local dialects sometimes termed Singlish. This also is a mixed bag for ICT use, in that English is the dominant worldwide language of the web. The language controls, inhibitive to some citizens, reflect an authoritarian government (Warschauer 2011).

In addition there are 2 special administrative regions (Hong Kong and Macau) and one claimed province (Taiwan) The latter three are not considered in this research b Although in 2014, there were 29 Indian states, 1 national capital region, and 7 union territories, only 20 had robust and complete data for this research (Facebook and Twitter Users), Marcatus Center of George Mason University, and the Pew Research Center. Sources in China were the China Information Almanac, China Statistical Yearbook, Chinese Census, and China Internet Network Information Center, while sources for India were the Indian Statistical Yearbook, Indian Department of Telecommunications, Lok Sabha (lower house of Indian Parliament), Reserve Bank of India, and India’s Export Promotion Council.

7 Patterns for Moran’s index, with a showing extreme negative value, b showing moderate negative value, c showing 0 value (random), d showing moderate positive value, and e showing extreme positive value. Source Longley et al. e. those which contribute the most negative values in the equation for the overall Moran’s I for regression residuals. 2). Although this book utilizes the methodologies described in the last section, this section examines some of the leading alternative methods along with examples of literature studies and the reasons why that approach is not used in this volume.

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A bootstrap-based aggregate classifier for model-based clustering by Dias J.G., Vermunt J.K.

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