Search Results - subject:"Distribution Function"

General relativistic Boltzmann equation, II: Manifestly covariant treatment

Debbasch, F.; van Leeuwen, W.A. - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 9, pp. 1818-1834

In a preceding article we presented a general relativistic treatment of the derivation of the Boltzmann equation. The four-momenta occurring in this formalism were all on-shell four-momenta, verifying the mass-shell restriction p2=m2c2. Due to this restriction, the resulting Boltzmann equation,...

Persistent link: https://www.econbiz.de/10010872301

Granular gas of viscoelastic particles in a homogeneous cooling state

Bodrova, A.S.; Brilliantov, N.V. - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 17, pp. 3315-3324

coefficient a3 of the Sonine polynomials expansion of the velocity distribution function is taken into account. We observe a …-energy tail of the velocity distribution function. In particular, we study the time dependence of the tail amplitude and of the …

Persistent link: https://www.econbiz.de/10011064285

Evaluation of the Adequacy of Statistical Distribution Functions for Deriving Unit Hydrograph

Rai, R.; Sarkar, S.; Singh, V. - In: Water Resources Management 23 (2009) 5, pp. 899-929

the UH satisfies all the properties of a probability distribution function (PDF), it seems logical that PDFs can be … employed for deriving the UH. In practice, the gamma distribution function has been commonly employed to derive the UH. In this … tested on the 13 watersheds of different characteristics and it was observed that except for the EXP distribution function …

Persistent link: https://www.econbiz.de/10010997886

Useful moment and CDF formulations for the COM–Poisson distribution

Nadarajah, Saralees - In: Statistical Papers 50 (2009) 3, pp. 617-622

Persistent link: https://www.econbiz.de/10004966074

Construction of non-exchangeable bivariate distribution functions

Durante, Fabrizio - In: Statistical Papers 50 (2009) 2, pp. 383-391

Persistent link: https://www.econbiz.de/10005615810

A Simple Approximation for Bivariate Normal Integral Based on Error Function and its Application on Probit Model with Binary Endogenous Regressor

Tsay, Wen-Jen; Ke, Peng-Hsuan - Institute of Economics, Academia Sinica - 2009

A simple approximation for the bivariate normal cumulative distribution function (BNCDF) based on the error function is …

Persistent link: https://www.econbiz.de/10008514877

General relativistic Boltzmann equation, I: Covariant treatment

Debbasch, F.; van Leeuwen, W.A. - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 7, pp. 1079-1104

General Relativistic Boltzmann equation. In this first article, the general relativistic one-particle distribution function in …

Persistent link: https://www.econbiz.de/10010591625

La distribución beta generalizada de segunda especie como modelo de la distribución personal de la renta en España

Prieto Alaiz, Mercedes; García Pérez, Carmelo - In: Estadística española : revista del Instituto Nacional … 51 (2009) 170, pp. 33-62

Persistent link: https://www.econbiz.de/10003986142

Day-To-Day Monetary Policy and the Volatility of the Federal Funds Interest Rate

Prati, Alessandro; Bertola, Giuseppe; Bartolini, Leonardo - International Monetary Fund (IMF) - 2000

We propose a model of the interbank money market with an explicit role for central bank intervention and periodic reserve requirements, and study the interaction of profit-maximizing banks with a central bank targeting interest rates at high frequency. The model yields predictions on biweekly...

Persistent link: https://www.econbiz.de/10005769266

Betit : a family that nests probit and logit

Vijverberg, Wim P. M. - 2000

This paper proposes a dichotomous choice model that is based on a transformed beta (or "z") distribution. This model, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape of this density affects the estimated relation between...

Persistent link: https://www.econbiz.de/10001605236