Examples of using Statistical inference in English and their translations into Russian
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Statistical inference edit.
That's enough to make a statistical inference.
Statistical inference in semi- and nonparametric models.
The total error then falls under the rules of the statistical inference.
Several approaches to statistical inference for odds ratios have been developed.
But my work was restricted by Excel, visualization and simple statistical inferences.
Bayesian inference refers to statistical inference where uncertainty in inferences is quantified using probability.
Nonparametric statistics includes both descriptive statistics and statistical inference.
Konishi& Kitagawa state,"The majority of the problems in statistical inference can be considered to be problems related to statistical modeling.
His primary research fields are probability theory,combinatorics, and statistical inference. .
Other research areas include statistical inference of probability models, characterization of distributions, bivariate and multivariate weighted distributions.
These counter-examples cast doubt on the coherence of"fiducial inference" as a system of statistical inference or inductive logic.
Programma kursa:(1) Statisticheskaya Rekonstruktsiya(Statistical Inference, Data Restoration), Diskretnaya Optimizatsiya(Combinatorial Optimization), Podschet konfiguratsii Counting.
In functional neuroimaging analysis,an estimate of the number of resels together with random field theory is used in statistical inference.
In logic, statistical inference, and supervised learning, transduction or transductive inference is reasoning from observed, specific(training) cases to specific(test) cases.
The Commission regularly reviews the Human Development Index, its components andother aspects related to data quality and statistical inference.
Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpretability or appearance of graphs.
Among the major CORE contributions in econometrics are Bayesian estimation of simultaneous equations systems(Bayesian inference methods are widely used in research at CORE) and the concepts of weak andstrong exogeneity used in statistical inference.
A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors.
The main aim of this part of the project is to develop statistical procedures which can be practically used for statistical inference in complex models.
In light of the above, it may be deduced that it is important to avoid making statistical inferences without an appropriate and contextual analysis, as this could lead to fallacies or hasty or inaccurate conclusions.
Such a task may involve(i) registration of the training examples to a common pose,(ii)probabilistic representation of the variation of the registered samples, and(iii) statistical inference between the model and the image.
Grünwald, 1998 MDL is a theory of inductive and statistical inference that starts out with this idea: all statistical learning is about finding regularities in data, and the best hypothesis to describe the regularities in data is also the one that is able to compress the data most.
Because of the time lag in data generation, the assessment of progress in attaining the goals and targets-- using statistical inference-- will be included in subsequent reports only.
In statistical inference, parameters are sometimes taken to be unobservable, and in this case the statistician's task is to infer what they can about the parameter based on observations of random variables(approximately) distributed according to the probability distribution in question, or more concretely stated, based on a random sample taken from the population of interest.
The difficulty in defining the target population,survey population and survey frame jeopardizes the traditional way in which official statisticians think and do statistical inference about the target(and finite) population.
Some elements of business intelligence are: Multidimensional aggregation and allocation Denormalization, tagging, and standardization Realtime reporting with analytical alert A method of interfacing with unstructured data sources Group consolidation, budgeting androlling forecasts Statistical inference and probabilistic simulation Key performance indicators optimization Version control and process management Open item management Forrester distinguishes this from the business-intelligence market, which is" just the top layers of the BI architectural stack, such as reporting, analytics, and dashboards.
Probabilistic tracking depends upon collecting non-personal data regarding device attributes like operating system, device make and model, IP addresses, ad requests and location data,and making statistical inferences to link multiple devices to a single user.
Estimate of reserves of mineral raw materials of all mining companies may by nature be inaccurate andto a certain extent depends on subjective statistical inferences based on results of limited drilling volumes and other analyses.
It has the desirable properties of statistical invariance(i.e. the inference transforms with a re-parametrisation, such as from polar coordinates to Cartesian coordinates), statistical consistency(i.e. even for very hard problems, MML will converge to any underlying model) and efficiency i.e. the MML model will converge to any true underlying model about as quickly as is possible.