

Articles
by
R.D. Wooten 
Total Records (
2 ) for
R.D. Wooten 





R.D. Wooten
and
C.P. Tsokos


Two important entities that constitute global warming are atmospheric temperature and carbon dioxide (CO_{2}). The present study is to use actual CO_{2} data from the various locations including Hawaii and Alaska and identify the actual probability distribution functions (pdf) that probabilistically characterize its behavior. Having such a pdf of CO_{2} we can proceed to perform parametric statistical analysis and obtain needed useful information. Presently, scientists working on the subject matter of CO_{2} characterize the pdf as the classical and popular Gaussian pdf. We have found that the three parameter Weibull pdf gives a much better fit to CO_{2} and the Gaussian is statistically rejected. In addition, we perform trend analysis and identify that the behavior of CO_{2} as a function of time is quadratic. We proceed to filter the data accordingly to be independent of time and the subject data follows a general logistic pdf. Utilizing this finding we proceed to obtain ten and twenty year projections of CO_{2} in the atmosphere along with appropriate degrees of confidence. 




R.D. Wooten


There are two common entities that meteorologists consider contributing factors within a storm; namely, pressure and wind speed. The present study uses actual readings from a buoy in the Gulf near Florida and a reading estimated using Doppler within a hurricane and identifies the relationship between wind speed and pressure using both regression analysis and nonresponse analysis to detect interaction and higher order terms. Then proceed to perform nonresponse analysis to obtain useful information about the relationship between pressure, wind speed and temperature. In this study it was found that nonresponse analysis can be used as an alternative to regression analysis and can be further extended to detect relationship among codependent variables. Utilizing these findings, solutions to the developed model has been obtained that estimated one variable as a function of the remaining two with two solutions depending on the season; that is, pressure as it relates to wind speed and temperature as it relates to wind speed and pressure and wind speed as it relates to both pressure and temperature. 





