Results 221 to 230 of about 13,588,304 (249)
Some of the next articles are maybe not open access.
Journal of Classification, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Movement Disorders Clinical Practice
What are statistics Good for in human research studies? Studies conducted on human beings may have different objectives and designs, but they all share some common principles. 1 We outline these principles as a cycle, shown in Figure 1. The first step is to obtain a sample from a population.
Santiago Perez‐Lloret +2 more
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What are statistics Good for in human research studies? Studies conducted on human beings may have different objectives and designs, but they all share some common principles. 1 We outline these principles as a cycle, shown in Figure 1. The first step is to obtain a sample from a population.
Santiago Perez‐Lloret +2 more
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Computing in Science & Engineering, 2001
One method of solving inverse problems in the presence of random variations (noise) emphasizes the importance of prior knowledge and uses Thomas Bayes's theorem from statistics. We describe a data analysis problem from experimental nuclear physics, requiring analysis of the energy spectrum from a nuclear reaction. We show how to use Bayesian methods to
Timothy C. Black, William J. Thompson
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One method of solving inverse problems in the presence of random variations (noise) emphasizes the importance of prior knowledge and uses Thomas Bayes's theorem from statistics. We describe a data analysis problem from experimental nuclear physics, requiring analysis of the energy spectrum from a nuclear reaction. We show how to use Bayesian methods to
Timothy C. Black, William J. Thompson
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Communications of the ACM, 2014
Why business analytics and big data really matter for modern business organizations.
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Why business analytics and big data really matter for modern business organizations.
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2010
Book abstract: The growing emphasis on evidence-based practice means that there is an increasing need for practitioners to have at least a basic understanding of research, be aware of methodological pitfalls and to be updated on new methods. This book provides a practical, user-friendly guide to social science research methods for professionals who ...
Smith, Karen, Davies, Joanne
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Book abstract: The growing emphasis on evidence-based practice means that there is an increasing need for practitioners to have at least a basic understanding of research, be aware of methodological pitfalls and to be updated on new methods. This book provides a practical, user-friendly guide to social science research methods for professionals who ...
Smith, Karen, Davies, Joanne
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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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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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2010
Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Rheumatic Disease Clinics of North America, 1995
A system for data analysis is the end product of study planning, form design, data entry, data verification, and statistical analysis. This article reviews these steps and considers the fundamental choices in software for data entry and analysis. The appendix includes a listing of general and specialized software for data management and statistical ...
J K, Rao, L F, Callahan
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A system for data analysis is the end product of study planning, form design, data entry, data verification, and statistical analysis. This article reviews these steps and considers the fundamental choices in software for data entry and analysis. The appendix includes a listing of general and specialized software for data management and statistical ...
J K, Rao, L F, Callahan
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Proceedings of the 1st annual conference on Computer graphics and interactive techniques - SIGGRAPH '74, 1974
In recent years, graphics has become an essential part of modern data analysis. It is particularly useful for interactive data analysis. This paper describes a system called CLOUDS which is designed to make available on inexpensive storage tube terminals a wide range of graphic tools related to data analysis, economics, and management science.
Roy E. Welsch, Helge Bjaaland
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In recent years, graphics has become an essential part of modern data analysis. It is particularly useful for interactive data analysis. This paper describes a system called CLOUDS which is designed to make available on inexpensive storage tube terminals a wide range of graphic tools related to data analysis, economics, and management science.
Roy E. Welsch, Helge Bjaaland
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Journal of Travel & Tourism Marketing, 2002
Abstract This article applies Data Envelopment Analysis (DEA) to the field of travel and tourism. DEA has become a popular technique for measuring and evaluating performance. It has been successfully applied for the evaluation of efficiencies and the identification of benchmarking partners in situations where multiple inputs and outputs occur.
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Abstract This article applies Data Envelopment Analysis (DEA) to the field of travel and tourism. DEA has become a popular technique for measuring and evaluating performance. It has been successfully applied for the evaluation of efficiencies and the identification of benchmarking partners in situations where multiple inputs and outputs occur.
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