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Shauna Gibbons,Christian T. Sinclairar models so far considered in the statistical literature, in that their analysis is quite tractable. It has been possible to find conditions for stationarity and stability, to derive estimates of the unknown parameters, to establish asymptotic properties of these estimates and to obtain tests of ceFissure 发表于 2025-3-27 04:17:49
Abigail Nathanson,Shirley Otis-Greenchastic multiplicative model, the representation of the formulated stochastic multiplicative model as a random contraction, the explicit analytical evaluation of the characteristic function corresponding to such a random contraction, the interpretation of the formulated stochastic multiplicative modHost142 发表于 2025-3-27 08:29:18
Kimberly Shapiroone of the leaders in the field..Includes supplementary mateBackground and Scope of the Book This book continues, extends, and unites various developments in the intersection of probability theory and dynamical systems. I will briefly outline the background of the book, thus placing it in a systematminaret 发表于 2025-3-27 10:47:03
Satheesh Gunaga,Jonathan Zygowiectely test variance components equal to zero..Bayesian and frRandom Effect and Latent Variable Model Selection In recent years, there has been a dramatic increase in the collection of multivariate and correlated data in a wide variety of ?elds. For example, it is now standard pr- tice to routinely coAcetaldehyde 发表于 2025-3-27 15:52:53
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Heather N. Bitarcame about largely by the discovery of . diffusion. and by the concept of . introduced by Alexander and Orbach.. These are based on the fundamental concept of . introduced and developed by Mandelbrot5 to characterize disordered structures in nature. Since then (1982), the interest of the scientific