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probability density functions

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View A remote-sensing based technique to account for sub-grid scale variability of land surface properties By William L. Crosson

A remote-sensing based technique to account for sub-grid scale variability of land surface properties

A remote-sensing based technique to account for sub-grid scale variability of land surface properties

By William L. Crosson

View Regional-scale hydrology with a new land surface processes model By Charles A. Laymon

Regional-scale hydrology with a new land surface processes model

Regional-scale hydrology with a new land surface processes model

By Charles A. Laymon

View Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station By Winifred C. Lambert

Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station

Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station

By Winifred C. Lambert

View Probability density functions of observed rainfall in Montana By Scott D. Larsen

Probability density functions of observed rainfall in Montana

Probability density functions of observed rainfall in Montana

By Scott D. Larsen

View PDF methods for combustion in high-speed turbulent flows By Stephen B. Pope

PDF methods for combustion in high-speed turbulent flows

PDF methods for combustion in high-speed turbulent flows

By Stephen B. Pope

View Mapping closure approximation to conditional dissipation rate for turbulent scalar mixing By Gouwei He

Mapping closure approximation to conditional dissipation rate for turbulent scalar mixing

Mapping closure approximation to conditional dissipation rate for turbulent scalar mixing

By Gouwei He

View Comparison of PDF and moment closure methods in the modeling of turbulent reacting flows By Andrew T. Norris

Comparison of PDF and moment closure methods in the modeling of turbulent reacting flows

Comparison of PDF and moment closure methods in the modeling of turbulent reacting flows

By Andrew T. Norris

View Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device By M. Simon

Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device

Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device

By M. Simon

View Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data By Willard J. Pierson

Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data

Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data

By Willard J. Pierson

View Sensor redundancy management By Frank Scalzo

Sensor redundancy management

Sensor redundancy management

By Frank Scalzo

View Approximate confidence regions for the parameters of three software reliability models By G. Moek

Approximate confidence regions for the parameters of three software reliability models

Approximate confidence regions for the parameters of three software reliability models

By G. Moek

View Estimation and classification by sigmoids based on mutual information By Yoram Baram

Estimation and classification by sigmoids based on mutual information

Estimation and classification by sigmoids based on mutual information

By Yoram Baram

View Verification of obstacle accountability areas using a simple mathematical model. Part I By G. Moek

Verification of obstacle accountability areas using a simple mathematical model. Part I

Verification of obstacle accountability areas using a simple mathematical model. Part I

By G. Moek

View Reliability, risk and cost trade-offs for composite designs By Michael C. Shiao

Reliability, risk and cost trade-offs for composite designs

Reliability, risk and cost trade-offs for composite designs

By Michael C. Shiao