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Statistics and Computing, 1992
The density of the quotient of two non-negative quadratic forms in normal variables is considered. The covariance matrix of these variables is arbitrary. The result is useful in the study of the robustness of theF-test with respect to errors of the first and second kind.
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The density of the quotient of two non-negative quadratic forms in normal variables is considered. The covariance matrix of these variables is arbitrary. The result is useful in the study of the robustness of theF-test with respect to errors of the first and second kind.
openaire +1 more source
American Cancer Society nutrition and physical activity guideline for cancer survivors
Ca-A Cancer Journal for Clinicians, 2022Cheryl L Rock +2 more
exaly
Broadening horizons: the role of ferroptosis in cancer
Nature Reviews Clinical Oncology, 2021Xin Chen, Rui Kang, Guido Kroemer
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ON THE STATISTICAL INDEPENTDENCE OF QUADRATIC FORMS IN NORMAL VARIATES
Biometrika, 1950openaire +3 more sources
End-to-end design of wearable sensors
Nature Reviews Materials, 2022, Peter Q Nguyen, Laura Gonzalez-Macia
exaly
On the density of generalised quadratic forms with applications to asymptotic expansions for test statistics [PDF]
In this note we derive a general formula useful to express the density of generalised noncentral quadratic forms (i.e. of a scalar random variable obtained by contracting non zero mean multivariate normal vectors over multidimensional arrays) in terms of linear combinations of noncentral chi square random variables.
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Brachytherapy: An overview for clinicians
Ca-A Cancer Journal for Clinicians, 2019Cyrus Chargari +2 more
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Inflammatory Breast Cancer: The Disease, the Biology, the Treatment
Ca-A Cancer Journal for Clinicians, 2010Luc M Bidaut +2 more
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Chemical recycling to monomer for an ideal, circular polymer economy
Nature Reviews Materials, 2020Geoffrey W Coates, Yutan D Y L Getzler
exaly