Results 281 to 290 of about 3,498,021 (328)
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Statistics and Society, Data Collection and Interpretation
Technometrics, 1994Revised and updated (first edition, 1972) textbook for an introductory undergraduate course for non-mathematics majors illustrates how statistics and society interact, as well as statistics' relationship to mathematics and computer science.
D. Holt, Walter T. Federer
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Statistical Interpretation of Data [PDF]
, 2000 It is commonplace to observe that repeated measurements of what seems to be the same object or phenomenon do not produce identical results. Measurement variation arises from a number of sources, but one root cause is often the finite precision of the measuring tool. If a simple yardstick is used to measure carpet, we expect to obtain a result no better
John C. Russ, Robert T. Dehoff
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Statistics in the interpretation of geochemical data [PDF]
New Zealand Journal of Geology and Geophysics, 1967 Abstract A statistical method of determining the threshold concentration in geochemical exploration is described. Examples are presented of its use in prospecting surveys at Parakao, Northland; Shotover River, Moke Creek, and Waitahuna, Otago; and the Longwood Range, Southland.
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STATISTICAL MODELS FOR INTERPRETING AEROMAGNETIC DATA
GEOPHYSICS, 1970A mathematical basis for the application of power spectrum analysis to aeromagnetic map interpretation is developed. An ensemble of blocks of varying depth, width, thickness, and magnetization is considered as a statistical model. With the use of the fundamental postulate of statistical mechanics, a formula which can be used to analyze the power ...
A. Spector, F. S. Grant
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, 2017
In geotechnical engineering, the number of measurement data obtained from in situ or laboratory tests is usually sparse, especially for projects of small or medium size.
Yu Wang, Tengyuan Zhao
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In geotechnical engineering, the number of measurement data obtained from in situ or laboratory tests is usually sparse, especially for projects of small or medium size.
Yu Wang, Tengyuan Zhao
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Logical, epistemological and statistical aspects of nature-nurture data interpretation.
Biometrics, 1978In this paper the nature of the reasoning processes applied to the nature-nurture question is discussed in general and with particular reference to mental and behavioral traits.
O. Kempthorne
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The American Journal of Nursing, 1959
STATISTICS, in its broader sense, refers to a body of methods for obtaining, organizing, and analyzing numerical facts. We should keep in mind that the application of statistical methods is not a sterile exercise. We collect and organize figures for a specific purpose. Generally, we are seeking answers to questions.
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STATISTICS, in its broader sense, refers to a body of methods for obtaining, organizing, and analyzing numerical facts. We should keep in mind that the application of statistical methods is not a sterile exercise. We collect and organize figures for a specific purpose. Generally, we are seeking answers to questions.
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Mass spectrometry reviews (Print), 2015
Because of the increasing importance of heavy and unconventional crude oil as an energy source, there is a growing need for petroleomics: the pursuit of more complete and detailed knowledge of the chemical compositions of crude oil.
Yunju Cho +3 more
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Because of the increasing importance of heavy and unconventional crude oil as an energy source, there is a growing need for petroleomics: the pursuit of more complete and detailed knowledge of the chemical compositions of crude oil.
Yunju Cho +3 more
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Statistical Interpretation of Pollution Data from Satellites
Journal of Spacecraft and Rockets, 1974The NIMBUS-G environmental monitoring satellite has an instrument (a gas correlation spectrometer) onboard for measuring the mass of a given pollutant within a gas volume. The present paper treats the problem: How can this type measurement be used to estimate the distribution of pollutant levels in a metropolitan area.
G. L. Smith, R. N. Green, G. R. Young
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Statistical interpretation of data in experimental tuberculosis
Tubercle, 1936Summary (1) A detailed description is given of a simple statistical method for testing the significance of the difference between the means of small samples. (2) Errors of random sampling partly or wholly invalidate some of the conclusions drawn from data in experimental tuberculosis.
A.K. Krause, William N. Berg
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