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2017, Graduate studies in mathematics, ISBN 0821849476, Volume 179., xii, 700 pages
Book
Clinical chemistry (Baltimore, Md.), ISSN 1530-8561, 2012, Volume 58, Issue 9, pp. 1306 - 1313
... between analytical imprecision and within-person biological variation. For a fixed number of measurements, it is preferable to have a high number of samples from each individual... 
VARIABILITY | ASSAY | TERM | MEDICAL LABORATORY TECHNOLOGY | CLINICAL-CHEMISTRY | Confidence Intervals | Reproducibility of Results | Humans | Research | Clinical medicine | Medical informatics | Studies | Hypothesis testing | Software | Biological variation | Random variables | Estimates
Journal Article
Psychological Science, ISSN 0956-7976, 9/2003, Volume 14, Issue 5, pp. 396 - 401
Journal Article
npj quantum information, ISSN 2056-6387, 2016, Volume 2, Issue 1, p. 16021
Quantum physics can be exploited to generate true random numbers, which have important roles in many applications, especially in cryptography... 
ARRIVAL | VACUUM | PHYSICS, CONDENSED MATTER | STATES | PHYSICS, APPLIED | INFORMATION | LASER | KEY DISTRIBUTION | PHOTONS | PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | VARIABLES | TIME | Physics - Quantum Physics | CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
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Developmental Psychology, ISSN 0012-1649, 9/2010, Volume 46, Issue 5, pp. 1309 - 1319
Journal Article
ACM Computing Surveys (CSUR), ISSN 1557-7341, 11/2007, Volume 39, Issue 4, pp. 11 - es
Rapid generation of high quality Gaussian random numbers is a key capability for simulations across a wide range of disciplines... 
normal | Gaussian | Random numbers | simulation | Simulation | Normal | NORMAL-DISTRIBUTIONS | random numbers | COMPUTER SCIENCE, THEORY & METHODS | RANDOM-VARIABLES | Algorithms | Random number generators | Gaussian processes | Research | Properties | Simulation methods | Methods
Journal Article
Physical Review A - Atomic, Molecular, and Optical Physics, ISSN 1050-2947, 05/2010, Volume 81, Issue 5
Journal Article
Sociological methods & research, ISSN 1552-8294, 2013, Volume 43, Issue 1, pp. 73 - 97
Although agree–disagree (AD) rating scales suffer from acquiescence response bias, entail enhanced cognitive burden, and yield data of lower quality, these... 
number of response categories | MTMM | measurement errors | agree-disagree scales | quality | RELIABILITY | QUESTION | MODELS | 7-POINT | SOCIAL SCIENCES, MATHEMATICAL METHODS | VARIABLES | VALIDITY | VERIFICATION | SOCIOLOGY | Sociology | Experiments | Bias | Ratings & rankings | Responses
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