alexa Abstract | Bayesian Hierarchical Functional Data Analysis for Healthy Menstrual Cycles

Research & Reviews: Journal of Statistics and Mathematical Sciences
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

In almost every field of study, studying the distribution of a random curve can give needed information. In the field of in vitro fertilization, particular interest is given to modeling the temperature curves of women across their menstrual cycle. Fitting the curve can lead to categorizing cycles as healthy or unhealthy and can help identify the most fertile days of a cycle.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Calvin L Williams* and Trevor Partridge

Keywords

Hierarchical model, Gibbs sampling,Simulation, Bayesian specification, Menstrual cycles, Biometrics ,Biostatistics, Behaviometrics, Combinatorics, Deformation, Geometry, Harmonic analysis, Algebra, Homotopical Algebra,Latin square, Lie theory, Lie Triple Systems, Loop Algebra,Representation theory, Symmetric Space, Topology, Quantum Group, Operad theory, Quasigroup

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords