Results 91 to 100 of about 4,654,306 (147)

Poverty: Looking for the Real Elasticities [PDF]

After decades of intensive research on the statistical size distribution of income and despite its empirical weaknesses, the lognormal distribution still enjoys an important popularity in the applied literature dedicated to poverty and inequality. In the
Florent Bresson
core   +2 more sources

GMM Estimation of Income Distributions from Grouped Data [PDF]

We develop a GMM procedure for estimating income distributions from grouped data with unknown group bounds. The approach enables us to obtain standard errors for the estimated parameters and functions of the parameters, such as inequality and poverty ...
D.S. Prasada Rao, Gholamreza Hajargsht, Joseph Brice, Duangkamon Chotikapanich, William E. Griffiths   +4 more
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The Evolution of House Price Distribution [PDF]

Is the cross-sectional distribution of house prices close to a lognormal distribution, as is often assumed in empirical studies on house price indexes? How does the distribution evolve over time?
MIZUNO Takayuki, SHIMIZU Chihiro, OHNISHI Takaaki, WATANABE Tsutomu   +3 more
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The Generalized Lognormal Distribution as an Income Distribution

, 2003
Introduction Over the last 100 years, a large number of distributions has been proposed for the modeling of size phenomena, notably the size distribution of personal incomes (see, for example, Kleiber and Kotz, 2003).
Stefanie Scheid, Christian Kleiber Universitat, Christian Kleiber   +2 more
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Optimum Estimators for Parameters of Lognormal Distribution [PDF]

The Egyptian Statistical Journal, 1977
S.A. Shaban
doaj   +1 more source

The size distribution across all cities - Double Pareto lognormal strikes

Using un-truncated settlement size data from eight countries, we show that the "double Pareto lognormal" (DPLN) distribution provides a better fit to actual city sizes than the simple lognormal (LN) distribution.
Zimmermann, Arndt, Suedekum, Jens, Giesen, Kristian   +2 more
core  

On Stereographic Lognormal Distribution

International Journal of Advances in Applied Sciences, 2013
S.V.S. Girija, A.V. Dattatreya Rao, Phani Yedlapalli   +2 more
openaire   +1 more source

Applications of Lognormal Distributions

Japanese journal of applied statistics, 1988
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Approximating Lognormal Sum Distributions With Power Lognormal Distributions

IEEE Transactions on Vehicular Technology, 2008
In wireless communications, cochannel interference is usually characterized by a sum of lognormal random variables. Since the characteristic function of a lognormal distribution lacks explicit expression, and numerical calculation of a lognormal sum distribution is very challenging, lognormal distributions are often used to approximate lognormal sum ...
J Almhana
exaly   +2 more sources

An optimal lognormal approximation to lognormal sum distributions

IEEE Transactions on Vehicular Technology, 2004
Sums of lognormal random variables occur in many problems in wireless communications because signal shadowing is well modeled by the lognormal distribution. The lognormal sum distribution is not known in the closed form and is difficult to compute numerically.
N C Beaulieu
exaly   +3 more sources