Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

[Transformations of parameters in the generalized Poisson distribution for test data analysis]

H Ogasawara1

  • 1Railway Technical Research Institute, Kokubunji.

Shinrigaku Kenkyu : the Japanese Journal of Psychology
|February 1, 1996
PubMed
Summary

The generalized Poisson distribution simplifies analyzing data mixtures. Transformed parameters, like mean and standard deviation, offer clearer insights than original parameters for data analysis.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Thrombosis with thrombocytopenia syndrome (TTS) following adenovirus vector COVID-19 vaccination in Canada.

Vaccine·2023
Same author

Endogenous protein and enzyme fragments induce immunoglobulin E-independent activation of mast cells via a G protein-coupled receptor, MRGPRX2.

Scandinavian journal of immunology·2018
Same author

Extensive first-principles molecular dynamics study on Li encapsulation into C<sub>60</sub> and its experimental confirmation.

Nanoscale·2018
Same author

Real-Time Elucidation of Catalytic Pathways in CO Hydrogenation on Ru.

The journal of physical chemistry letters·2017
Same author

Pyrite form of group-14 element pernitrides synthesized at high pressure and high temperature.

Dalton transactions (Cambridge, England : 2003)·2017
Same author

Nutritional assessment using stable isotope ratios of carbon and nitrogen in the scalp hair of geriatric patients who received enteral and parenteral nutrition formulas.

Clinical nutrition (Edinburgh, Scotland)·2016

Area of Science:

  • Statistics
  • Probability Theory

Context:

  • Generalized Poisson distribution approximates mixtures of Poisson distributions.
  • Traditional parameterization can be less intuitive for data analysis.

Purpose:

  • To introduce transformed parameters for the generalized Poisson distribution.
  • To enhance the interpretability of the distribution's properties in data analysis.

Summary:

  • The generalized Poisson distribution's mean and variance are functions of its parameters.
  • Two parameter transformations were developed: mean/standard deviation and mean/variance-to-mean.
  • These transformed parameters are more practical for understanding data characteristics.

Impact:

  • Facilitates easier interpretation of data using the generalized Poisson distribution.

Related Experiment Videos

  • Provides a more intuitive framework for statistical modeling and analysis.