Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Applied Statistics (2)
- Statistics and Probability (2)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Anatomy (1)
- Astrophysics and Astronomy (1)
-
- Biology (1)
- Biometry (1)
- Biostatistics (1)
- Biotechnology (1)
- Cancer Biology (1)
- Categorical Data Analysis (1)
- Cell Anatomy (1)
- Cell Biology (1)
- Cell and Developmental Biology (1)
- Cells (1)
- Cellular and Molecular Physiology (1)
- Clinical Trials (1)
- Developmental Biology (1)
- Genetics and Genomics (1)
- Immunology and Infectious Disease (1)
- Immunopathology (1)
- Instrumentation (1)
- Laboratory and Basic Science Research (1)
- Life Sciences (1)
- Medical Biophysics (1)
- Medical Biotechnology (1)
- Medical Cell Biology (1)
- Medical Pathology (1)
- Medical Sciences (1)
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Cosmic Ray Particles Images With Orca-Ii Erg, George Mcnamara
Cosmic Ray Particles Images With Orca-Ii Erg, George Mcnamara
George McNamara
Cosmic ray particles image series acquired using a Hamamatsu ORCA-II ERG scientific grade CCD camera, cooled to -60 C. Each image is a consecutive 600 second (10 minute) exposure time with no light to the camera.
While processing the data, I discoverd that the background changed around planes 25 and 227 (see Excel file and jpeg screenshots), so I also processed only planes 025-227 (203 planes total, 2030 minutes, 33.83 hours). the CCD industry "rule of thumb" for a "typical" CCD sensor (i.e. 1/3" CCD) is that one cosmic ray particle strikes a sensor approximately every 30 seconds (assuming not …
Glme3_Ado_Do_Files, Joseph Hilbe
R Code: A Non-Iterative Implementation Of Tango's Score Confidence Interval For A Paired Difference Of Proportions, Zhao Yang
Zhao (Tony) Yang, Ph.D.
For matched-pair binary data, a variety of approaches have been proposed for the construction of a confidence interval (CI) for the difference of marginal probabilities between two procedures. The score-based approximate CI has been shown to outperform other asymptotic CIs. Tango’s method provides a score CI by inverting a score test statistic using an iterative procedure. In the developed R code, we propose an efficient non-iterative method with closed-form expression to calculate Tango’s CIs. Examples illustrate the practical application of the new approach.