Results 261 to 270 of about 427,721 (311)

A Fitting Return to Fitting Returns: Cryptocurrency Distributions Revisited

SSRN Electronic Journal, 2021
This study fits 22 theoretical distribution functions, four of them originally derived, onto 772 cryptocurrency daily returns with goodness-of-fit evaluated using Cramer-von Mises, Anderson-Darling, Kuiper, Kolmogorov-Smirnov, and Chi-squared tests, as well as a harmonic mean p-value synthetic criterion.
Savva Shanaev, Binam Ghimire
openaire   +1 more source

Distribution fitting approach to application fitness assessment

2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), 2016
On top of assessing the specification compliance, it is also important to verify the behavior and performance of the electronic components in the targeted application. This is usually achieved by jointly simulating the component and the application. There is a particular interest in finding the application yield caused by the process variation of the ...
Alexandra Iosub   +5 more
openaire   +1 more source

Making CornishhFisher Distributions Fit

SSRN Electronic Journal, 2016
The truncated Cornish–Fisher inverse expansion is well known. It is used, for example, to approximate value-at-risk and conditional value-at-risk. It is known that this expansion gives a distribution for limited skewness and kurtosis and that the distribution may be a poor fit.
John D. Lamb   +2 more
openaire   +1 more source

Distribution Fitting Methods

1991
The measured intensities alone are not sufficient to determine the structure. The solubility of the phase problem of a structure determination is dependent on the Amount of a Priori Structure Information (APSI) - i.e. atomicity, the known number of atoms, known molecular fragment, etc. Therefore the optimal procedure for the structure determination can
Jindrich Hašek, Henk Schenk
openaire   +1 more source

Fitting Dimensional Distributions

2011
This chapter focuses on the use of statistical tools for fitting models to dimensional data that represent a sample of trees. Here, we consider the models, theory, and tools for one-dimensional data, such as diameter distributions. Two-dimensional data, such as the classical allometric relationships, and multi-dimensional data, which require systems of
Andrew P. Robinson, Jeff D. Hamann
openaire   +1 more source

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