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Tampering with a Stable Process

Teaching Statistics, 1994
SummaryThis article presents a variation of the funnel experiment made famous by W. Edwards Deming. Ideally suited for classroom use, this exercise illustrates the disastrous consequences resulting from tampering with a stable process.
openaire   +1 more source

On the Boundedness of Stable Processes

1977
By a stable process we mean a process X = (X(t) | t ∈ T) such that all linear combinations of the random variables X(t) have a stable distrition as defined in [5, p. 166].
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A characterization of stable processes

Journal of Applied Probability, 1969
Let X(t) be a stochastic process whose parameter t runs over a finite or infinite n terval T. Let t1, t2 ɛ T, t1 〈 t2; the random variable X(t2) – X(t1) is called the increment of the process X(t) over the interval [t1, t2]. A process X(t) is said to be homogeneous if the distribution function of the increment X(t + τ) — X(t) depends only on the length
openaire   +2 more sources

Illuminating hydrological processes at the soil‐vegetation‐atmosphere interface with water stable isotopes

Reviews of Geophysics, 2016
Matthias Sprenger   +2 more
exaly  

Hitting distributions of $\alpha$-stable processes via path censoring and self-similarity

Annals of Probability, 2014
Andreas E Kyprianou, Juan CARLOS Pardo
exaly  

Operator-self-similar stable processes

Stochastic Processes and Their Applications, 1994
Makoto Maejima
exaly  

INFINITE VARIANCE STABLE ARMA PROCESSES

Journal of Time Series Analysis, 1994
Piotr S Kokoszka, Murad S Taqqu
exaly  

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