The Experts below are selected from a list of 48 Experts worldwide ranked by ideXlab platform

Reed C. Hodgin - One of the best experts on this subject based on the ideXlab platform.

  • WINDS ALOFT BY Programmable Calculator
    2015
    Co-Authors: Reed C. Hodgin
    Abstract:

    Determination of upper level winds is important to many practicing meteorologists. The pilot balloon m~thod of upper winds analysis is discussed. An algorithm is developed to calculate pibal upper winds wIth a Programmable Calculator. Program steps and sample results are presented for the Texas Instruments TI-59 Calculator. 1. INTRODUCTI:ON A current knowledge of wind conditions aloft is important to many operational meteorologists. Often this information can be obtained from the regularly scheduled radiosonde ascents of the National Weather Service (NWS). But when no upper air station is close enough to be represen-tative, or when data is required at times other than 0000 GMT or 1200 GMT, winds at upper levels must be observed in the field

Zelikovski A - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of non-occurrence by TI-59 Programmable Calculator
    Harefuah, 1991
    Co-Authors: Haddad M, Farbstein H, Haim Gutman, Koren A, Zelikovski A
    Abstract:

    A TI-59 Programmable Calculator program is presented for calculating either risk probability, sample size or confidence level (given 2 of the 3 variables) in cases in which an event of concern did not occur, or as expressed mathematically, had zero numerators. Its main usefulness is as a tool for interpreting previously published data containing no adverse event of concern while contemplating medical alternatives. These conditions are not infrequent in rare medical events--either diseases or complications. However, applicability of the program extends beyond these confines, exemplified in experimental planning for considering expected sample size or in calculating certainty in terms of confidence level.

Haddad M - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of non-occurrence by TI-59 Programmable Calculator
    Harefuah, 1991
    Co-Authors: Haddad M, Farbstein H, Haim Gutman, Koren A, Zelikovski A
    Abstract:

    A TI-59 Programmable Calculator program is presented for calculating either risk probability, sample size or confidence level (given 2 of the 3 variables) in cases in which an event of concern did not occur, or as expressed mathematically, had zero numerators. Its main usefulness is as a tool for interpreting previously published data containing no adverse event of concern while contemplating medical alternatives. These conditions are not infrequent in rare medical events--either diseases or complications. However, applicability of the program extends beyond these confines, exemplified in experimental planning for considering expected sample size or in calculating certainty in terms of confidence level.

Edel Garcia - One of the best experts on this subject based on the ideXlab platform.

Ray A Simons - One of the best experts on this subject based on the ideXlab platform.

  • Epidemiologic Programs for Computers and Calculators SIMPLE ALGORITHMS FOR THE REPRESENTATION OF DETERMINISTIC AND STOCHASTIC VERSIONS OF THE REED- FROST EPIDEMIC MODEL USING A Programmable Calculator
    2016
    Co-Authors: Eduardo L Franco, Ray A Simons
    Abstract:

    Brazil) and A. R. Simons. Simple algorithms for the representation of deterministic and stochastic versions of the Reed-Frost epidemic model using a Programmable Calculator. Am J Epidemiol 1986;123:905-915. Two programs are described for the emulation of the dynamics of Reed-Frost progressive epidemics in a handheld Programmable Calculator (HP-41C series). The programs provide a complete record of cases, susceptibles, and immunes at each epidemic period using either the deterministic formulation or the trough analogue of the mechanical model for the stochastic version. Both programs can compute epidemics that include a constant rate of influx or outflux of susceptibles and single or double infectivity time periods. epidemiologic methods; disease outbreaks; models, theoretical; probability One of the most powerful models used to illustrate the dynamics of infectious disease epidemics was originally developed by Low-ell J. Reed and Wade Hampton Frost at The Johns Hopkins University School of Hygiene and Public Health (1). This model was derived from the one originally pro-posed by Soper (2) and has been used ex-tensively as a teaching and research tool in epidemiology (3). Although stringent in al-gebraic formulation, the Reed-Frost model is versatile enough to represent theoretical progressive epidemics in deterministic or stochastic versions. The deterministic formulation provides Received for publication June 24,1985, and in final form September 20, 1985