Testing for moderate explosiveness

On the Explosiveness and Destructiveness of the 1918 Epidemic.

Toward the close of an elaborate statistical treatment of the influenza epidemic of 1918, Pearl' discusses the relation between the explosiveness I and the destructiveness D of the epidemic, between which he finds a high correlation rID = 0.709 and a regression equation D = 2.74 + 0.10651. The explosiveness is defined2 as the ratio I = (P M)/T where P is the death rate (on an annual basis) from...

Testing For Efficiency Wages In Iran

HYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION

Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.

Countable state Markov processes: non-explosiveness and moment function

The existence of a moment function satisfying a drift function condition is well-known to guarantee non-explosiveness of the associated minimal Markov process (cf.[1, 6]), under standard technical conditions. Surprisingly, the reverse is true as well for a countable space Markov process. We prove this result by showing that recurrence of an associated jump process, that we call the α-jump proce...

Testing Cold Dark Matter Models at Moderate to High Redshift

The COBE microwave background temperature fluctuations and the abundance of local rich clusters of galaxies provide the two most powerful constraints on cosmological models. When all variants of the standard cold dark matter (CDM) model are subject to the combined constraint, the power spectrum of any model is fixed to ∼ 10% accuracy in both the shape and overall amplitude. These constrained mo...