통계적 추론

노트

위키데이터

• ID : Q938438

말뭉치

1. Statistical inference must assume that the observations on a variable are independent one of the other.
2. In general, inference means “guess”, which means making inference about something.
3. So, statistical inference means, making inference about the population.
4. Statistical inference is the process of analysing the result and making conclusions from data subject to random variation.
5. Statistical inference is a method of making decisions about the parameters of a population, based on random sampling.
6. We will introduce three forms of statistical inference in this unit, each one representing a different way of using the information obtained in the sample to draw conclusions about the population.
7. In terms of organization, the Inference unit consists of two main parts: Inference for One Variable and Inference for Relationships between Two Variables.
8. The next two topics in the inference unit will deal with inference for one variable.
9. We will make a similar distinction here in the inference unit.
10. The standard error is thus integral to all statistical inference, it is used for all of the hypothesis tests and confidence intervals that you are likely to ever come across.
11. We have seen that the probabilities of various outcomes can be quantified using statistical inference.
12. Summary Statistical inference is used to make comments about a population based upon data from a sample.
13. Statistical inference makes propositions about a population, using data drawn from the population with some form of sampling.
14. Any statistical inference requires some assumptions.
15. Different schools of statistical inference have become established.
16. One interpretation of frequentist inference (or classical inference) is that it is applicable only in terms of frequency probability; that is, in terms of repeated sampling from a population.
17. Inference, in statistics, the process of drawing conclusions about a parameter one is seeking to measure or estimate.
18. In parametric inference, a particular mathematical form of the distribution function is assumed.
19. Nonparametric inference avoids this assumption and is used to estimate parameter values of an unknown distribution having an unknown functional form.
20. Among others, the use and misuse of statistical inference plays a key role in this crisis.
21. Indeed, statistical inference is too often viewed as an isolated procedure limited to the analysis of data that have already been collected.
22. Indeed, we argue that statistical inference is too often seen as an isolated procedure that is limited to the analysis of data that have already been collected.
23. To illustrate how design analysis could enhance inference in psychological research, we have considered a real case study.
24. Although AIC is used widely, the exact statistical inference presently embodied by AIC is not widely understood by practitioners.
25. The evidence function concept clarifies and makes accessible the nature of the statistical inference involved in model selection.
26. Within each of these approaches there are controversies about the best tools and standards for doing statistical inference.
27. For making a statistical inference now we want to go the opposite way: from the sample data to the population.
28. Given that we know a fundamental part of the data generation process, i.e., that the individuals were selected at random from the population, it is possible to use this knowledge to make an inference.
29. In order to perform these inferential tasks, i.e., make inference about the unknown population parameter from the sample statistic, we need to know the likely values of the sample statistic.
30. This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data.
31. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation.
32. Yet, how the brain achieves the statistical inference of the cause from multiple sensory signals to form body representations remains largely unknown.
33. Then come statistical inference, and this is where hell starts.
34. The course expands and is a thorough treatment of the theory of statistical inference introduced in earlier courses.
35. We propose a statistical inference approach designed to detect the presence of cell-cell interactions that give rise to collective behaviors in cell motility experiments.
36. This inference method has been first successfully tested on synthetic motional data and then applied to two experiments.
37. Our inference analysis does not provide evidence for interactions, indicating that cells migrate by sensing independently the chemokine source.
38. In this study, we propose a statistical inference method to overcome the issues mentioned above.

메타데이터

위키데이터

• ID : Q938438

Spacy 패턴 목록

• [{'LOWER': 'statistical'}, {'LEMMA': 'inference'}]
• [{'LEMMA': 'inference'}]