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Spatial Data Analysis

Annual Review of Public Health, 2016
With increasing accessibility to geographic information systems (GIS) software, statisticians and data analysts routinely encounter scientific data sets with geocoded locations. This has generated considerable interest in statistical modeling for location-referenced spatial data. In public health, spatial data routinely arise as aggregates over regions,
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Analysis of Data

2021
The importance of cognitive psychological influences, national security policies, and military capabilities in shaping a power projecting state’s perceptions and response to emerging nuclear threats was discussed in Chapters 2, 3, 4, and 5. The Analysis of Data chapter incorporates these influences and applies them to the four proliferation cases using
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Analysis of Data [PDF]

open access: possible, 2013
Analysis of data in research is a process of inspecting, cleaning/correcting, transforming, classifying, and modelling the data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. It also refers to the process of evaluating data using analytical and logical reasoning to examine each component of the
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Data and Data Analysis

2015
The quality and transferability (generalizability) of the results depends on the analytical skills of the researcher. This is one of the greatest strength of qualitative research, but also a major weakness. Therefore, it is crucial that the process of how the raw data is analysed is clearly documented (Eisenhardt and Graebner, 2007).
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Cluster Analysis and Data Analysis.

Biometrics, 1985
R. R. Sokal, M. Jambu, M.-O. Lebeaux
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Data and analysis

2015
Štěpán Bahník, Marek A. Vranka
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Metabolomics in cancer research and emerging applications in clinical oncology

Ca-A Cancer Journal for Clinicians, 2021
Daniel R Schmidt   +2 more
exaly  

Dorfman's Data Analysis

Science, 1979
Donald B. Rubin, Stephen M. Stigler
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