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Sampling Distributions of Statistics Associated with a Fractile Graphic Method
Sampling Distributions of Statistics Associated with a Fractile Graphic Methodopenaire
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Graphical Methods of Statistical Analysis and Tests for Significance
1953The concept that individual differences exist in all manufactured and natural products is not new, but a convenient method of studying, controlling, and predicting these differences has not been generally adopted in most engineering design and manufacturing. We have gradually been forced to accept the fact that our products cannot all be exactly alike,
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Comment on "A Model for Studying Display Methods of Statistical Graphics"
Journal of Computational and Graphical Statistics, 1993I find Bill Cleveland's paper interesting because it argues in favor of a dichotomous framework for collection of visual information that we can develop to improve methods for graphical data analysis. We would all like to believe in statistical holography; that is, that there is some instrument for "looking at data" (microscope, macroscope, tweezers ...
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Describing Data: Statistical and Graphical Methods
Radiology, 2002An important step in any analysis is to describe the data by using descriptive and graphic methods. The author provides an approach to the most commonly used numeric and graphic methods for describing data. Methods are presented for summarizing data numerically, including presentation of data in tables and calculation of statistics for central tendency,
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Statistical and Graphical Research Methods: State of the Art
Social Science Computer Review, 1989Recent developments in software products have provided researchers with an opportunity for more effective data analysis and presentation of findings. In addition to expanding researchers' options for data analysis and presentation, the easy-to-use interfaces of new software products will likely decrease the amount of time spent in and improve the ...
Edwin H. Carpenter, Rick D. Axelson
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A Graphical Method for Parameter Learning of Symbolic-Statistical Models
1999We present an efficient method for statistical parameter learning of a certain class of symbolic-statistical models (called PRISM programs) including hidden Markov models (HMMs). To learn the parameters, we adopt the EM algorithm, an iterative method for maximum likelihood estimation.
Yoshitaka Kameya +2 more
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Graphical Methods in Computational Statistics
2009One of the first steps in attempting to understand data is to visualize it. Visualization of data and information provides a wealth of tools that can be used in detecting features, in discovering relationships, and finally in retaining the knowledge gained. Graphical displays have always been an important part of statistical data analysis, but with the
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Graphical methods of data representation in legal statistics
ACCOUNTING AND CONTROLThe article describes the graphical methods of data representation in legal statistics. The graphical method in legal statistics is a powerful tool for visualizing and analyzing statistical data. The variety of types of graphs and diagrams allows researchers and legal professionals to effectively present information, draw conclusions and make informed ...
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