Perspectives on Contemporary Statistics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Perspectives on Contemporary Statistics PDF full book. Access full book title Perspectives on Contemporary Statistics by David Caster Hoaglin. Download full books in PDF and EPUB format.
Author: David Caster Hoaglin
Publisher: Mathematical Association of America (MAA)
ISBN:
Category : Mathematics
Languages : en
Pages : 200
Get Book Here
Book Description
This book is a must for anyone who teaches statistics, particularly those who teach beginning statistics - mathematicians, social scientists, engineers - as well as graduate students and others new to the field. The authors focus on topics central to the teaching of statistics for beginners, and other expositions that are guided by the current state of statistical research and practice. Statistical practice has changed radically during the past generation under the impact of ever cheaper and more accessible computing power. Beginning instruction has lagged behind the evolution of the field. Software now enables students to shortcut unpleasant calculations, but this is only the most obvious consequences of changing statistical practice, the content and emphases of statistics instruction still needs much rethinking. This volume assembles nine new essays on important topics in present-day statistics at the college with various levels of mathematics preparation, and from diverse disciplinary backgrounds. Accordingly the chapters present modern perspectives on central aspects of statistics and emphasize the conceptual content that should accompany all varieties of beginning instruction. The books opens with a contemporary overview of statistics as the science of data - a view much broader than the "inference from data" emphasized by much traditional teaching. The next two chapters discuss the philosophy and some of the tools used in data analysis and describe the impact of computing on data analysis and inference and its implication for teaching. The book conlucdes with introductions to diagnostics and to the alternative approach embodied in resistent and robut procedures. -- from back cover.
Author: David Caster Hoaglin
Publisher: Mathematical Association of America (MAA)
ISBN:
Category : Mathematics
Languages : en
Pages : 200
Get Book Here
Book Description
This book is a must for anyone who teaches statistics, particularly those who teach beginning statistics - mathematicians, social scientists, engineers - as well as graduate students and others new to the field. The authors focus on topics central to the teaching of statistics for beginners, and other expositions that are guided by the current state of statistical research and practice. Statistical practice has changed radically during the past generation under the impact of ever cheaper and more accessible computing power. Beginning instruction has lagged behind the evolution of the field. Software now enables students to shortcut unpleasant calculations, but this is only the most obvious consequences of changing statistical practice, the content and emphases of statistics instruction still needs much rethinking. This volume assembles nine new essays on important topics in present-day statistics at the college with various levels of mathematics preparation, and from diverse disciplinary backgrounds. Accordingly the chapters present modern perspectives on central aspects of statistics and emphasize the conceptual content that should accompany all varieties of beginning instruction. The books opens with a contemporary overview of statistics as the science of data - a view much broader than the "inference from data" emphasized by much traditional teaching. The next two chapters discuss the philosophy and some of the tools used in data analysis and describe the impact of computing on data analysis and inference and its implication for teaching. The book conlucdes with introductions to diagnostics and to the alternative approach embodied in resistent and robut procedures. -- from back cover.
Author: Kenneth D. Lawrence
Publisher: IAP
ISBN: 1681230895
Category : Mathematics
Languages : en
Pages : 237
Get Book Here
Book Description
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in marketing (customer loyalty, identifying profitable customers, instore promotions, e-commerce populations); in business (teaching data mining, efficiency of the Chinese automobile industry, moderate asset allocation funds); and techniques (veterinary predictive models, data integrity in the cloud, irregular pattern detection in a mobility network and road safety modeling.)
Author: Sonja K. Foss
Publisher: Waveland Press
ISBN: 1478622156
Category : Language Arts & Disciplines
Languages : en
Pages : 405
Get Book Here
Book Description
The anniversary edition marks thirty years of offering an indispensable review and analysis of thinkers who have exerted a profound influence on contemporary rhetorical theory: I. A. Richards, Ernesto Grassi, Chaïm Perelman and Lucie Olbrechts-Tyteca, Stephen Toulmin, Richard Weaver, Kenneth Burke, Jürgen Habermas, bell hooks, Jean Baudrillard, and Michel Foucault. The brief biographical sketches locate the theorists in time and place, showing how life experiences influenced perspectives on rhetorical thought. The concise explanations of complex concepts are clear, engaging, insightful, and highly accessible, serving as an excellent primer for reading the major works of these scholars. The critical commentary is carefully chosen to highlight implications and to place the theories within a broader rhetorical context. Each chapter ends with a complete bibliography of works by the theorists.
Author: Gordon A. Fox
Publisher: Oxford University Press
ISBN: 0199672547
Category : Computers
Languages : en
Pages : 407
Get Book Here
Book Description
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.
Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
Get Book Here
Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Author: Kenneth D. Lawrence
Publisher: IAP
ISBN: 1641130563
Category : Computers
Languages : en
Pages : 169
Get Book Here
Book Description
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.
Author: Gail Burrill
Publisher: Springer
ISBN: 9783030034719
Category : Education
Languages : en
Pages : 0
Get Book Here
Book Description
This book focuses on international research in statistics education, providing a solid understanding of the challenges in learning statistics. It presents the teaching and learning of statistics in various contexts, including designed settings for young children, students in formal schooling, tertiary level students, and teacher professional development. The book describes research on what to teach and platforms for delivering content (curriculum), strategies on how to teach for deep understanding, and includes several chapters on developing conceptual understanding (pedagogy and technology), teacher knowledge and beliefs, and the challenges teachers and students face when they solve statistical problems (reasoning and thinking). This new research in the field offers critical insights for college instructors, classroom teachers, curriculum designers, researchers in mathematics and statistics education as well as policy makers and newcomers to the field of statistics education. Statistics has become one of the key areas of study in the modern world of information and big data. The dramatic increase in demand for learning statistics in all disciplines is accompanied by tremendous growth in research in statistics education. Increasingly, countries are teaching more quantitative reasoning and statistics at lower and lower grade levels within mathematics, science and across many content areas. Research has revealed the many challenges in helping learners develop statistical literacy, reasoning, and thinking, and new curricula and technology tools show promise in facilitating the achievement of these desired outcomes.
Author: Fox, Andrew
Publisher: IGI Global
ISBN: 146669968X
Category : Social Science
Languages : en
Pages : 329
Get Book Here
Book Description
Media events have been described as broadcasts that involve an engaged audience viewing the same event simultaneously; though this definition is still relevant, the way media outlets interact with and react to their audiences has greatly changed. This is in part due to the emergence of social media platforms which allow a participatory audience, something that genre-specific television channels now rely on. Because these genre-specific, 24-hour channels seek to hook viewers with hyperbolic presentation and the illusion of large media events, the original definition must be adapted. Global Perspectives on Media Events in Contemporary Society seeks to re-define the role of the media in relaying information about current events within a modern context. Determining what constitutes as and the proper presentation of a media event is of great importance given the ubiquity of media consumption. This book approaches the topic from historical, ceremonial, and globally cultural perspectives while addressing news, sports, and other significant current events. It is a vital resource for students and teachers of communication, media, and journalism, professionals in the media industry, policy makers, and sociologists.
Author: Kenneth D. Lawrence
Publisher: IAP
ISBN: 1623960576
Category : Mathematics
Languages : en
Pages : 254
Get Book Here
Book Description
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.
Author: Glenda Kaufman Kantor
Publisher: SAGE
ISBN: 0761907769
Category : Psychology
Languages : en
Pages : 345
Get Book Here
Book Description
This collection, based on papers from the 4th International Family Violence Research Conference, call for a collaborative approach to the study of family violence and examine theory, methodology, assessment, interventions and ethical concerns related to both child and wife abuse.
