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A Survey of Statistical Network Models aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities across different parts of the network literature, and discusses major schools of thought in static and dynamic network modeling. Networks have found a prominent place in our everyday lives. In science, networks have been used to analyze interpersonal social relationships, communication, academic paper co- authorships and citations, protein interaction patterns, and much more. Popular books on networks and their analysis began to appear a decade ago, and online "networking communities" such as Facebook, MySpace, and LinkedIn now include millions of people from around the world. Formal statistical modeling for the analysis of network data has emerged as a major research topic in diverse areas of study. A Survey of Statistical Network Models aims to provide the reader with an entry point to the voluminous literature on statistical network modeling. It guides the reader through the development of key stochastic network models, touches upon a number of examples and commonalities across different parts of the network literature, and discusses major schools of thought in static and dynamic network modeling. In addition it illuminates the interconnections between existing models. Despite the rich and extensive network modeling literature, many statistical questions remain unanswered. It is hoped that the concluding discussion of gaps and challenges will help the interested reader deduce important future research directions.
Shakespeare Survey is a yearbook of Shakespeare studies and production. Since 1948, the Survey has published the best international scholarship in English and many of its essays have become classics of Shakespeare criticism. Each volume is devoted to a theme, or play, or group of plays; each also contains a section of reviews of that year's textual and critical studies and of the year's major British performances. The theme for Volume 65 is 'A Midsummer Night's Dream'. The complete set of Survey volumes is also available online at http://www.cambridge.org/online/shakespearesurvey. This fully searchable resource enables users to browse by author, essay and volume, search by play, theme and topic and save and bookmark their results.
For courses covering general topics in math course, often called liberal arts math, contemporary math, or survey of math.
Everyday math, everyday language.
The Tenth Edition of A Survey of Mathematics with Applicationscontinues the tradition of showing students how we use mathematics in our daily lives and why it's important, in a clear and accessible way. With straightforward language, detailed examples, and interesting applications, the authors ensure non-majors will relate to the math and understand the mathematical concepts that pervade their lives. With this revision, an expanded media program in MyMathLab, and a new workbook further build upon the tradition of motivating and supporting student learning.
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MyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and engage with media resources to help them absorb course material and understand difficult concepts.NEW! This edition's MyMathLab course provides additional tools to help with understanding and preparedness.
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Additional online material can be found by clicking on the button above. 'A very practical text that provides professionals new to this arena with a good introduction to what they can expect to encounter in online work. The book contains numerous thought-provoking examples and exercises for those contemplating work in virtual arenas' - Terry Hanley, Lecturer in Counselling, University of Manchester. 'It's tempting to think that face-to-face experience translates straightforwardly to online work. But it doesn't. Jane Evans shows how many different aspects there are to counselling on-line! My advice would be, don't attempt it until you have worked through this book' - Professor Michael Jacobs, author of "Psychodynamic Counselling in Action". Counsellors - and other professionals who provide emotional support and guidance - are increasingly working online. The difference between online and face-to-face interaction with clients is vast and practitioners need to equip themselves with specialist knowledge and skills to ensure that they are being effective. "Online Counselling and Guidance Skills" is the first book to deal with the practicalities of this mode of working. It looks at how practitioners need to adapt their basic counselling skills to the online environment and guides them through the process of setting up, defining and maintaining a working relationship with a client within professional, ethical and legal boundaries. Case studies and extracts from online sessions show how the skills are put into practice, while practical exercises and points for further consideration help readers to develop their own knowledge and skills. Until now, books and articles have generally focused on the therapeutic work done by counsellors online. However, this book addresses people who use counselling skills in a wide range of contexts; including counselling, education, mental health, social care and careers guidance.
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.
Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.
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