The attachment bond that develops between infant and mother is the first of many intimate relationships we form throughout life, and as such it has been the focus of much research. But how does the quality of the secure base phenomena that defines this bond vary among individuals and across cultures? What methods can be used to asses its presence and characteristics?
Following an interview with Mary S. Ainsworth, the originator of the concept of secure base, this new Monograph brings together eleven papers that consolidate our understanding of the empirical advances that have occurred in attachment research. The collection is organized into three sections. Part One includes papers on the generalizability of attachment theory and data, including cross-cultural research. Part Two addresses both normative and individual differences among mothers, children, caregivers, and their interactions--and methods for the valid assessment of these. Part Three examines the mental representations that children use to depict their different attachment relationships. Together these papers will stimulate child development specialists and students to explore different assessment methods and to move beyond current understandings of attachment.
Название: An Introduction to Generalized Linear Models, Third Edition ISBN: 1584889500 ISBN-13(EAN): 9781584889502 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Нет в наличии. Описание: Offers a cohesive framework for statistical modeling. Emphasizing numerical and graphical methods, this work enables readers to understand the unifying structure that underpins GLMs. It discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal analysis.
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.
Автор: Nachtsheim;Neter;Kutner Название: Applied Linear Statistical Models with Student CD ISBN: 0071122214 ISBN-13(EAN): 9780071122214 Издательство: McGraw-Hill Рейтинг: Цена: 61770.00 T Наличие на складе: Поставка под заказ. Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
Автор: Koller Daphne, Friedman Nir Название: Probabilistic Graphical Models: Principles and Techniques ISBN: 0262013193 ISBN-13(EAN): 9780262013192 Издательство: MIT Press Рейтинг: Цена: 141070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.
Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Автор: Wulfram Gerstner Название: Spiking Neuron Models ISBN: 0521890799 ISBN-13(EAN): 9780521890793 Издательство: Cambridge Academ Рейтинг: Цена: 69690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Aimed at courses in computational neuroscience, theoretical biology, biophysics, or neural networks, this 2002 text will suit students of physics, mathematics, or computer science, as well as biologists who are interested in mathematical modelling. A large number of worked examples are embedded in the profusely-illustrated text.
Автор: Franses Название: Time Series Models for Business and Economic Forecasting ISBN: 0521520916 ISBN-13(EAN): 9780521520911 Издательство: Cambridge Academ Рейтинг: Цена: 49630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.
Автор: Galimkair Mutanov Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting ISBN: 3662451417 ISBN-13(EAN): 9783662451410 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.
Автор: Wood, Simon Название: Generalized Additive Models: An Introduction with R ISBN: 1584884746 ISBN-13(EAN): 9781584884743 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Нет в наличии. Описание: An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regression splines, and he provides a gentle introduction through motivating chapters on linear and generalized linear models. The author uses the freely available R software throughout to explain the underlying theory and illustrate the practicalities of linear, generalized linear, and generalized additive models. The text is accompanied by a supporting Web site that contains R code and the datasets used in the book.
Автор: Edited by Peter J. Carrington Название: Models and Methods in Social Network Analysis ISBN: 0521600979 ISBN-13(EAN): 9780521600972 Издательство: Cambridge Academ Рейтинг: Цена: 46470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book consists of review articles by leading methodologists, all commissioned exclusively for this volume. The book will complement the classic text by Wasserman and Faust, Social Network Analysis: Methods and Applications (also available from Cambridge University Press).
Автор: Burtonshaw-Gunn Название: The Essential Management Toolbox - Tools, Models and Notes for Managers and Consultants ISBN: 0470518375 ISBN-13(EAN): 9780470518373 Издательство: Wiley Рейтинг: Цена: 28500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A must have for all practising and aspiring consultants and strategists, this book covers a wide range of consultancy tools and techniques that are well displayed, well described and well referenced. The tools and techniques are helpfully divided in to twenty recognisable skills sectors within management consultancy fields and specialisms.
Автор: Skomski, Ralph Название: Simple Models of Magnetism ISBN: 0198570759 ISBN-13(EAN): 9780198570752 Издательство: Oxford Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Невозможна поставка. Описание: Models of magnetism have been pivotal in the understanding and advancement of science and technology. The book is the first one to cover the field as a whole, complementing a rich literature on specific models of magnetism. It is written in an easily accessible style, with a limited amount of mathematics, and covers a wide range of phenomena.
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