Examples of using Statistical inference in English and their translations into Swedish
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Statistical Inference Principles.
That's enough to make a statistical inference.
Statistical Inference Principles, 7.5 Credits.
Module 1. Probability and statistical inference(5 credits).
Statistical inference: theory
Novel methods for improved statistical inference in quantitative metagenomics.
having the understanding of statistical inference.
Have a deeper knowledge of statistical inference and be able to discuss
probability theory and statistical inference.
lecturer Area of expertise: statistical inference and analysis of variance.
the research is focused on both probability theory and statistical inference.
Be able to describe fundamental techniques for statistical inference and be able to use them on basic statistical models.
how these may be used for statistical inference.
Be able to describe fundamental techniques for statistical inference and be able modify them to fit realistic situations. Competences and skills.
methods in common theory for statistical inference.
The consequences for estimation and statistical inference of frequently appearing deviations from the standard assumptions are also considered.
Peter Jagers's research embraces population dynamics, point processes, and statistical inference, with an emphasis on the first.
and to valid statistical inference, is his discovery that a specific combination of two(or more)
Requirements: Knowledge corresponding to the courses MMG200 Mathematics 1, MSG200 Statistical Inference,  and MSG500 Linear Statistical Models.
Be able to describe fundamental techniques for statistical inference and be able to use them on basic statistical models,
artificial intelligence, statistical inference, operations research, and optimization.
Choose and apply the appropriate among above-mentioned methods and technologies for statistical inference for a given set of biological
making it impossible to apply standard methods of large-sample statistical inference.
Statistical inference is applied through statistical analysis methods for comparisons of groups
students within all disciplines that require experimental design, statistical inference, and interpretation of complex analysis results….
apply classical statistical inference based on Bayesian
or procedure of statistical inference.