Автор: Yuniya Kawamura Название: Doing Research in Fashion and Dress: An Introduction to Qualitative Methods ISBN: 1350089761 ISBN-13(EAN): 9781350089761 Издательство: Bloomsbury Academic Рейтинг: Цена: 8316.00 р. 11880.00-30% Наличие на складе: Есть (1 шт.) Описание: Whether you’re investigating fashion as a material object, an abstract idea, a social phenomenon, or a commercial system, qualitative techniques can further your understanding of almost any research topic. Doing Research in Fashion and Dress begins by guiding you through a brief history of fashion studies, and the debates surrounding it, before introducing key qualitative methodological approaches, including ethnography, semiology, and object-based research. Detailed case studies demonstrate how each methodology is used in practice. These case studies include Japanese subcultures, fashion photography blogs and semiotic studies of fashion magazine shoots and advertisements. This second edition also features a new chapter on internet sources and online ethnography, reflecting the adoption of social media tools not only by industry practitioners but also by academics.By contextualizing history, theory and practice Doing Research in Fashion and Dress offers:-A systematic examination of qualitative research methods in fashion studies in social sciences. -A practical guide for anyone wishing to conduct fashion research in academia or in the business world.-An accessible grounding in contemporary fashion studies literature.
Автор: Morgan Название: Counterfactuals and Causal Inference ISBN: 1107694167 ISBN-13(EAN): 9781107694163 Издательство: Cambridge Academ Рейтинг: Цена: 5702.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.
Автор: Frankfort-Nachmias Chava, Leon-Guerrero Anna Y., Davis Georgiann Название: Social Statistics for a Diverse Society, 9 ed ISBN: 1544339739 ISBN-13(EAN): 9781544339733 Издательство: Sage Publications Рейтинг: Цена: 47394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Ninth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating the link between the practice of statistics and important social issues. Recognizing that we live in a world characterized by a growing diversity and richness of social differences, best-selling authors Frankfort-Nachmias, Leon-Guerrero, and Davis help you learn key statistical concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables. The text also helps you develop important skills such as problem-solving (through a rich variety of exercises), use of statistical software (both SPSS and Excel), and interpreting research literature.
Автор: Gaciu Nicoleta Название: Understanding Quantitative Data in Educational Research ISBN: 1473982146 ISBN-13(EAN): 9781473982147 Издательство: Sage Publications Рейтинг: Цена: 16632.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.
Автор: Gill Название: Bayesian Methods ISBN: 1439862486 ISBN-13(EAN): 9781439862483 Издательство: Taylor&Francis Рейтинг: Цена: 11482.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists
Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.
New to the Third Edition
A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimation
A chapter on the practical implementation of MCMC methods using the BUGS software
Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm
Many new applications from a variety of social science disciplines
Double the number of exercises, with 20 now in each chapter
Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R
This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.
Автор: Levy Roy, Mislevy Robert J. Название: Bayesian Psychometric Modeling ISBN: 1439884676 ISBN-13(EAN): 9781439884676 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment
Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.
Adopting a Bayesian approach can aid in unifying seemingly disparate-and sometimes conflicting-ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.
The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.
Описание: Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure.
The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering. Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering. Key features: * Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students.
* Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations. The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.
Автор: Sisson Название: Handbook of Approximate Bayesian Computation ISBN: 1439881502 ISBN-13(EAN): 9781439881507 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Handbook of ABC provides illuminating insight into the world of Bayesian modelling for intractable models for both experts and newcomers alike. It is an essential reference book for anyone interested in learning about and implementing ABC techniques to analyse complex models in the modern world.
A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering and economics
The Bayesian Way offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by those studying professional disciplines like engineering and economics. In addition to the Bayesian approach, the author includes the most common techniques of the frequentist approach. Throughout the text, the author covers statistics from a basic to a professional working level along with a practical understanding of the matter at hand.
Filled with helpful illustrations, this comprehensive text explores a wide range of topics, starting with descriptive statistics, set theory, and combinatorics. The text then goes on to review fundamental probability theory and Bayes' theorem. The first part ends in an exposition of stochastic variables, exploring discrete, continuous and mixed probability distributions. In the second part, the book looks at statistical inference. Primarily Bayesian, but with the main frequentist techniques included, it covers conjugate priors through the powerful yet simple method of hyperparameters. It then goes on to topics in hypothesis testing (including utility functions), point and interval estimates (including frequentist confidence intervals), and linear regression. This book:
Explains basic statistics concepts in accessible terms and uses an abundance of illustrations to enhance visual understanding
Has guides for how to calculate the different probability distributions, functions, and statistical properties, on platforms like popular pocket calculators and Mathematica / Wolfram Alpha
Includes example-proofs that enable the reader to follow the reasoning
Contains assignments at different levels of difficulty from simply filling out the correct formula to the complex multi-step text assignments
Offers information on continuous, discrete and mixed probability distributions, hypothesis testing, credible and confidence intervals, and linear regression
Written for undergraduate and graduate students of subjects where Bayesian statistics are applied, including engineering, economics, and related fields, The Bayesian Way: With Applications in Engineering and Economics offers a clear understanding of Bayesian statistics that have real-world applications.
Описание: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.
Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.
Автор: Bailer-Jones Coryn A L Название: Practical Bayesian Inference ISBN: 1316642216 ISBN-13(EAN): 9781316642214 Издательство: Cambridge Academ Рейтинг: Цена: 6018.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume introduces the major concepts of probability and statistics and the computational tools students need to extract information from data in the presence of uncertainty. Using a simple and intuitive Bayesian approach, the emphasis throughout is on the principles and showing how these methods can be implemented in practice.
Автор: Raffaele Argiento; Ettore Lanzarone; Isadora Anton Название: Bayesian Statistics in Action ISBN: 3319540831 ISBN-13(EAN): 9783319540832 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field.
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