Qualitative and Quantitative Data Analysis
In: Shakaigaku hyōron: Japanese sociological review, Band 21, Heft 1, S. 78-85,114
ISSN: 1884-2755
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In: Shakaigaku hyōron: Japanese sociological review, Band 21, Heft 1, S. 78-85,114
ISSN: 1884-2755
In: Advances in Spatial Science, The Regional Science Series
This book takes both a retrospective and prospective view of the field of spatial analysis by combining selected reprints of classic articles by Arthur Getis with current observations by leading experts in the field. Four main aspects are highlighted, dealing with spatial analysis, pattern analysis, local statistics as well as illustrative empirical applications. Researchers and students will gain an appreciation of Getis' methodological contributions to spatial analysis and the broad impact of the methods he has helped pioneer on an impressively broad array of disciplines including spatial epidemiology, demography, economics, and ecology. The volume is a compilation of high impact original contributions, as evidenced by citations, and the latest thinking on the field by leading scholars. This makes the book ideal for advanced seminars and courses in spatial analysis as well as a key resource for researchers seeking a comprehensive overview of recent advances and future directions in the field.
In: Journal of visual impairment & blindness: JVIB, Band 116, Heft 2, S. 300-301
ISSN: 1559-1476
In: Journal of public administration research and theory, Band 24, Heft 1, S. 243-246
ISSN: 1477-9803
In: Journal of public administration research and theory, Band 24, Heft 1, S. 243-246
ISSN: 1477-9803
In: Evaluation and Program Planning, Band 19, Heft 1, S. 106-107
In: Behaviormetrika, Band 8, Heft 10, S. 1-20
ISSN: 1349-6964
In: Canadian journal of political science: CJPS = Revue canadienne de science politique, Band 4, Heft 1, S. 21-24
ISSN: 1744-9324
When a panel is composed of residents from three or four of the conventionally defined Canadian regions, the issue of whether or not regionalism still persists in Canada is already to a large extent prejudged. For this reason, and also because I am doubtful of my credentials as either an interpreter or bearer of any particular set of regional values, I propose to address myself to the problem of how one can measure regional effects.
In: Annual review of sociology, Band 22, Heft 1, S. 351-375
ISSN: 1545-2115
Log-linear methods provide a powerful framework and the statistical apparatus for rigorously analyzing categorical data. These methods were introduced and developed by Leo Goodman and others in the early 1970s. In the late 1970s and the early 1980s, Goodman, Alan Agresti, Clifford Clogg, Otis Dudley Duncan, and others showed how these models could help us to estimate associations between discrete variables, including ordered and unordered polytomies. The last decade has witnessed a set of diverse extensions of these techniques. This paper reviews the basic log-linear strategy and illustrates key concepts. Citations are given to other articles on these topics, many of which are nontechnical and contain substantive sociological applications.
In: Water Resources Systems Planning and Management; Developments in Water Science, S. 207-276
In: Mathematical social sciences, Band 43, Heft 1, S. 79-113
In: Fuzzy Sets in Management, Economics and Marketing, S. 69-81
In: Structural change and economic dynamics, Band 3, Heft 2, S. 291-299
ISSN: 1873-6017
In: Journal of policy analysis and management: the journal of the Association for Public Policy Analysis and Management, Band 3, Heft 3, S. 476
ISSN: 1520-6688
In: Sendhil R, Anuj Kumar, Satyavir Singh, Ajay Verma, Karnam Venkatesh and Vikas Gupta (2017). Data Analysis Tools and Approaches (DATA) in Agricultural Sciences. ICAR-Indian Institute of Wheat and Barley Research. pp 1-126. ISBN: 978-93-5300-510-8 . DOI: 10.13140/RG.2.2.28187.57125
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