Results 271 to 280 of about 4,030,414 (327)
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Statistical approaches to interpretation of seismic reflection data
Tectonophysics, 2000Abstract Statistical approaches offer a potentially powerful tool for interpretation of the complex seismic reflection patterns typically recorded from the crystalline crust. These methods focus on characterization of the complexity, scaling characteristics and spatial variability of the wave field with the ultimate aim of recovering information on ...
Charles A. Hurich, A Kocurko
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Applied Multivariate Research: Design and Interpretation
, 2005Part I. The Basics of Multivariate Design Chapter 1. An Introduction to Multivariate Design Chapter 2. Some Fundamental Research Design Concepts Chapter 3A. Data Screening Chapter 3B. Data Screening Using IBM SPSS Part II. Comparisons of Means Chapter 4A.
L. Meyers, G. Gamst, A. Guarino
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Interpretation of research data: Selected statistical procedures
American Journal of Health-System Pharmacy, 1980Selected statistical procedures used in the analysis of research data are presented. The relationship of significance testing to research hypotheses is explained in terms of tests of differences and correlation. Also, the differences, assumptions, and advantages and disadvantages of parametric and nonparametric statistics are discussed.
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Statistical Transformation and the Interpretation of Inpatient Glucose Control Data
Endocrine Practice, 2014To introduce a statistical method of assessing hospital-based non-intensive care unit (non-ICU) inpatient glucose control.Point-of-care blood glucose (POC-BG) data from hospital non-ICUs were extracted for January 1 through December 31, 2011. Glucose data distribution was examined before and after Box-Cox transformations and compared to normality ...
Janna C. Castro +2 more
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HOSPITAL INFECTIONS AND THEIR CONTROL: PITFALLS IN THE INTERPRETATION OF STATISTICAL DATA*
Journal of the American Geriatrics Society, 1961The problem of intra‐hospital infection has been the subject of world‐wide concern, and even controversy, during the past decade. The shift in emphasis to the institution as a nidus of spreading pathogens is, in part, the natural outcome of an abating conflict with the once insurmountable infections originating in the community.
Mildred B. Fertman, Manuel H. Fertman
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Statistical approach to range-data fusion and interpretation
Proceedings of the First Euromicro Workshop on Advanced Mobile Robots (EUROBOT '96), 2002Making-use of multiple sensors is crucial for improvement of mobile robot navigation performance. The contribution introduces a problem of integrating noisy range-data by data fusion on signal/pixel level. This is performed for multiple sensors and different sensor positions into a common description of the environment. The paper deals with grid models,
Libor Preucil, Petr Stepan
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Multivariate statistical interpretation of coastal sediment monitoring data
Fresenius' Journal of Analytical Chemistry, 2001Multivariate statistical analysis of sediment data (input matrix 122 x 15) collected from 122 sampling sites from the western coastline of the USA and analyzed for 15 analytes indicates that the data structure could be explained by four latent factors. These factors are conditionally named "anthropogenic", "organic", "natural", and "hot spots".
Ivana Stanimirova +2 more
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Statistical interpretation of S-on-1 data and the damage initiation mechanism
SPIE Proceedings, 2008ABSTRACT Multipulse laser induced damage optical materials is an important topic for many applications of nonlinear crystals. We studied multi pulse damage in X-cut KTiOPO 4 . A 6ns Nd:YAG laser has been used with a weakly focused beam. A fatigue phenomenon has been observed and we try to clarif y the question whether or not this phenomenon necessarily
Wagner, Frank +5 more
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Is statistical significance testing useful in interpreting data?
Reproductive Toxicology, 1993Although P values and statistical significance testing have become entrenched in the practice of biomedical research, their usefulness and drawbacks should be reconsidered, particularly in observational epidemiology. The central role for the null hypothesis, assuming an infinite number of replications, and the dichotomization of results as positive or ...
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