statistical models data analysis (189 resultados)

Paperback. Condición: Good. Type: Book N.B. Small plain label to inside front cover. Corners a little rubbed with some creasing. Light rubbing to edges of covers and spine. (MATHEMATICS).

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.24.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:0860030431.

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condición: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

22,6 x 17,3 x 0,8 cm, CD-ROM. Condición: Gut. Auflage: 1. Auflage. 704 Seiten nice book ex Library Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 68.

Paperback / softback. Condición: New. New copy - Usually dispatched within 2 working days. 184.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Condición: as new. Wie neu/Like new.

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Hardcover. Condición: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Hardcover. Condición: New. 8vo, hardcover. No dj, as issued. NEW. Bright, crisp & clean, unread. xv, 400 p., illus.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9783319173764.

Soft cover. Condición: Fine. soft cover in near fine condition.

Condición: Good. Binding is unblemished, text block is clean, boards straight, without highlights or markings. Mild rubbing/chipping to dust wrapper edges. Previous owners name stamped lightly on fore-edge. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification,to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered.'Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function.'Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego'This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. ' Bruno B. Averbeck.

xvii, 396 p., num. figs, paperbound. Good copy.

hardcover. Condición: Fine.

Hardcover. Condición: Very Good.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. advanced statistical analysis, environmental science, data analysis, model specification, model validation Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In the world of data analysis, statistical models have become an essential tool for making sense of complex data sets. Data Analysis with Statistical Models is a comprehensive guide to the principles and techniques of statistical modeling, providing a nuanced understanding of the complex relationships between data, models, and decision-making. By examining the latest research and applications in this field, this book offers practical advice on how to develop and apply statistical models in a variety of contexts, from business and finance to healthcare and social sciences. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Hardcover. Condición: New. HardCover. Pub Date: 2019-08-01 Pages: 534 Language: Chinese Publisher: China Aerospace Press reliability is an important guarantee of product quality and competitiveness. reliability testing is an effective means to ensure and assess product reliability. Test is an accelerated reliability test method to shorten the duration of the test by increasing the test stress levels. it makes the longevity .

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern biology extensively deals with high throughput gene expression data. Although these datasets provide information about the expression of thousands of transcripts, the extraction of information desired by the researcher is a challenging task. Up to now, a variety of different analysis methods and tools have been developed. This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. On the basis of three different case studies, distinct analysis approaches are presented and comprehensive discussion of the results is provided.