One of the mysteries of the English language finally explained.
The theory, methods, and practice of forming judgments about the parameters of a population and the reliability of statistical relationships, typically on the basis of random sampling.
- ‘His articles are more of a contribution to probability theory than to simultaneous statistical inference, and the reader in search of a convenient reference for such use might prefer.’
- ‘Other articles written by Savage relate to statistical inference, in particular the Bayesian approach.’
- ‘The purpose of this paper has been to acquaint cognitive science researchers with some of the core differences between the randomization and normal curve models of statistical inference.’
- ‘Qualitative sampling can be confusing, especially if one's knowledge regarding sampling methods originates from a framework of statistical inference.’
- ‘For the system at hand, likelihood methods may provide a more reliable basis for statistical inference.’
- ‘In the jargon of statistical inference this means that the relationship between deflation and depression is not ‘statistically significant.’’
- ‘However, shifting one's means of justification implies a corresponding shift to an alternative model of statistical inference, and in some cases requires moving away from statistically based inference altogether.’
- ‘We propose a new method for approximate Bayesian statistical inference on the basis of summary statistics.’
- ‘This method falls within a novel approach to robust statistical inference from incomplete databases based on probability intervals.’
- ‘Using the new family of models, we investigate the utility of a variety of new statistical inference procedures.’
- ‘However, for anyone trained in statistical inference and experimental methodology, this will appear as just another blatant attempt to snatch victory out of the jaws of defeat.’
- ‘Not only must these models be more realistic, they must also permit fast computation in frequentist and Bayesian statistical inference.’
- ‘To that end, statistical inference using Poisson random field models provides powerful likelihood and Bayesian methods for quantifying some of these forces, such as mutation and directional selection.’
- ‘In medical research the periodic calls for a wholesale switch to the use of bayesian statistical inference have been largely ignored.’
- ‘In statistical inference we infer certain facts about a large population - say, the average height of New Yorkers - from measurements made on a sample.’
- ‘The F-ratio associated with the sheep/goat variable should have been 1.57, not 1.33 as reported, although this should not have affected statistical inference.’
- ‘Second, the sample size is small; hence, the power of statistical inference is potentially limited in this study.’
- ‘Without recombination, data would reflect a single realization of this process, making statistical inference a questionable project.’
- ‘The development of theoretical models that can aid in understanding complicated demographic histories and provide a basis for methods of statistical inference has been another major aim of recent work.’
- ‘Because these data are not drawn from a random sample, generalizations are based on intuitive plausibility rather than statistical inference.’
In this article we explore how to impress employers with a spot-on CV.