statistical inference oor Noorse Bokmål

statistical inference

naamwoord
en
(statistics) Drawing conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time.

Vertalings in die woordeboek Engels - Noorse Bokmål

statistisk inferens

en
process of deducing properties of an underlying probability distribution by analysis of data
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He wrote extensively on statistical mechanics and on foundations of probability and statistical inference.
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One of the many applications of Bayes' theorem is Bayesian inference, a particular approach to statistical inference.
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Jaynes' posthumous book, Probability Theory: The Logic of Science (2003) gathers various threads of modern thinking about Bayesian probability and statistical inference, develops the notion of probability theory as extended logic, and contrasts the advantages of Bayesian techniques with the results of other approaches.
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Bayesian inference is fundamental to Bayesian statistics.
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Everything we do or almost everything we do in inferential statistics which is essentially, making inferences based on data points, is to some degree, based on the normal distribution.
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In The Logic of Statistical Inference (1965), Hacking critically appraises the use of probability theory in contemporary statistics.
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The student has a firm knowledge in probability and statistical distributions as a basis for statistical inference.
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Such a Bayesian approach mimics a method of statistical inference where the probability for a hypothesis is updated as more evidence or information becomes available.
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The student knows the mathematical basis for probability and statistical inference, can recognise simple statistical standard situations in technology and natural sciences, and know how these situations can best be analysed.
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A Discussion Paper by Arvid Raknerud and Øivind Skare aims to develop new methods for statistical inference in a class of stochastic volatility models for financial data based on non-Gaussian Ornstein-Uhlenbeck (OU) processes.
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And what you're going to see in much of statistics it is all about using information, using things that we can calculate about a sample, to infer things about a population.
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He has taught a wide range of methods courses at the master’s and PhD levels, on topics such as research design and causal inference, essential mathematics and statistics, and time series analysis.
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Drawing an inference based on results that are inaccurate (i.e., not statistically significant) is risky.
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After completion, candidates will have the knowledge, understanding and skills to propose state-of-the-art studies, write excellent study protocols, perform the research, analyze the data using modern statistical techniques, make defensible causal inferences, come to justified conclusions, and write outstanding research papers.
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The detection algorithm uses statistical data about the values and metadata of columns to make inferences about the probability of relationships.
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Biostatistics, epidemiology and biological system modelling includes methodological research in statistics relevant to a number of areas in medicine (measurement error, survival analysis, causal inference, high dimensional models, stochastic models), as well as research in statistical genomics, systems biology, epidemiology, and infectious disease epidemiology modelling.
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Google uses location information in our ads products to infer demographic information, to improve the relevance of the ads you see, to measure ad performance and to report aggregate statistics to advertisers.
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17 sinne gevind in 6 ms. Hulle kom uit baie bronne en word nie nagegaan nie.