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2024 | OriginalPaper | Chapter

14. Statistical Inference: General Concepts, Parameter Estimation, Confidence Intervals, and Testing of Hypotheses

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Key Topics in This Chapter: Mainly Quantitative

This chapter contains important aspects of dealing with data. The topics include:
  • Characteristics and distributions of sample data.
  • Estimation of distribution parameters: Maximum likelihood, method of moments, Bayesian approach.
  • Determination of confidence intervals for distribution parameters.
  • Estimation of the CDF and of quantiles.
  • Formulation of statistical tests.
  • Graphical goodness of fit tests.

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Literature
go back to reference Bové DS, Held L (2014) Applied statistical inference. Springer Bové DS, Held L (2014) Applied statistical inference. Springer
go back to reference Helm WE, Waldmann K-H (2016) Simulation stochastischer Systeme. Springer Gabler Helm WE, Waldmann K-H (2016) Simulation stochastischer Systeme. Springer Gabler
go back to reference Rohatgi VK (2003) Statistical inference. Dover Publications Rohatgi VK (2003) Statistical inference. Dover Publications
go back to reference Ross SM (2010) Introduction to probability models. Academic Press Ross SM (2010) Introduction to probability models. Academic Press
Metadata
Title
Statistical Inference: General Concepts, Parameter Estimation, Confidence Intervals, and Testing of Hypotheses
Author
Herfried Kohl
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-71272-2_14

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