..., grey system theory, rough set theory and probability statistics are compared. The principle of simplicity of scientific theories, methods, and models are discussed. Practical implications It is suggested that the tendency to concentrate on a complicated model isn't always necessary when faced...

..., Artificial intelligence, Systems theory, Signal processing, Statistics This is a new edition of an introductory text in machine learning that the author believes provides a unified treatment of machine learning problems and solutions. It is published as a second edition in the MIT’s Adaptive Computation...

... Mathematics Decision making Statistics This book goes further than providing the means of making decisions, it also offers plenty of good advice through the use of mathematics and those who wish to use this book who are not mathematically inclined may wish to revise their mathematics so that they can...

...Julio Angel Pardo; María del Carmen Pardo Purpose To provide a new family of test statistics to solve the Behrens‐Fisher problem and to compare it with the classic test statistics through a different simulation studies. Design/methodology/approach A general procedure for testing composite...

... Statistics This book appears in the Information Science and Statistics Series commissioned by the publishers. In this text, no previous knowledge of pattern recognition or of machine learning is necessary. The book appears to have been designed for course teaching, but obviously contains material...

... in the practitioner's viewpoint. Those who are involved with software developments in automation and robotics will find it contains a wealth of information. Of course, its mathematical/statistical basis should make it attractive to those in cybernetics and systems with the appropriate background, as it should to anyone...

...) © Emerald Group Publishing Limited 2006 --> Cybernetics Artificial intelligence Statistics This is a topic that rests somewhere between statistics and artificial intelligence, which makes it of interest to both systemists and cyberneticians. It confirms the need to accept...

...Ralf Östermark; Rune Höglund The power and size of five cointegration tests, the ADF‐, Zˆ_α‐, ECM‐, SW‐, and JJ‐statistics, are evaluated in some large‐scale Monte Carlo simulations, when the underlying system is subjected to regime shifts...

... UP Limited 2000 Cybernetics Statistics Redundancy Brain Information The structural and functional redundancy in the ensemble architecture of the central neuronal association, revealed in our experiments, appears to be related to the information redundancy of the sensory messages...

... of the methods. It is written in textbook style, with exercises for the reader, as well as brief descriptions of real‐world applications, and five appendices covering aspects of the underlying statistical mathematics. It is a valuable and up‐to‐date reference work, with something in the region of 800 references...

...A. Alonso; Esteban; D. Morales Methods of testing simple hypotheses about lifetime parameters from doubly censored data are given on the basis of the maximum likelihood principle. It is shown that, under the assumptions of standard type, the asymptotic distribution of proposed statistics is chi...

...M.L. Menéndez; J.A. Pardo; L. Pardo; M.C. Pardo Read (1984) presented an asymptotic expansion for the distribution function of the power divergence statistics whose speed of convergence is dependent on the parameter of the family. Generalizes that result by considering the family of (h, φ...

... in the comparison of experiments. Our aim is also to study the relationship of the (hentropy criterion to the classical approaches of Blackwell[5] and Lehmann[6]. Introduction Let A be a statistical experiment whose possible results belong to a parameter space . Before taking any decision, let us suppose...

... to complex system solving. An algorithm is proposed here in the form of Turbo Pascal program. It is composed of three methods. The program user controls system solving in function of system complexity. Algorithms Computer programming Heuristics Statistics Systems analysis Kybernetes 24,5 50...

...Esteban; J.A. Pardo; M.C. Pardo; M.L. Vicente Several coefficients, called divergences, have been suggested in the statistical literature to reflect the fact that some probability distributions are “closer together” than others and consequently that it may be easier to distinguish between...

..., and that there is a mutual dependence between fuzzy sets, possibility and relative information. This will be done by using geometric programming[3]. The article is organized as follows. In the next section, we shall bear in mind some results on statistical decision in the presence of subjectivity, and then we shall show how...

...Robert Vallée Harmonic analysis, probability and statistics were among the fields Wiener was most interested in. In his generalized harmonic analysis he introduced, for a signal with finite square modulus mean value, its spectral distribution which is linked to what can be called the integral...

... with mixed (discrete‐continuous) distributions is derived in terms of the usual entropy definitions. In addition, the maximum entropy problem in the general setting of mixture distributions is discussed. Image processing Statistics Maximum Entropy Modelling of Mixture Communications Distributions...