Perspectives On Contemporary Statistics
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| Author | : David Caster Hoaglin |
| Publisher | : Mathematical Association of America (MAA) |
| Total Pages | : 200 |
| Release | : 1992 |
| Genre | : Mathematics |
| ISBN | : |
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 |
| Total Pages | : 159 |
| Release | : 2021-01-01 |
| Genre | : Computers |
| ISBN | : 164802145X |
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 business (banking, brokerage, and insurance), marketing (customer relationship, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security and law enforcement.
| Author | : Kenneth D. Lawrence |
| Publisher | : IAP |
| Total Pages | : 237 |
| Release | : 2015-07-01 |
| Genre | : Mathematics |
| ISBN | : 1681230895 |
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 | : Kenneth D. Lawrence |
| Publisher | : IAP |
| Total Pages | : 169 |
| Release | : 2017-09-01 |
| Genre | : Computers |
| ISBN | : 1641130563 |
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 | : Rui Sarmento |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Mathematical statistics |
| ISBN | : 9781522580362 |
"This book presents a comparison of two of the available languages to execute data analysis and statistical analysis, the R language and the Python language"--Provided by publisher.
| Author | : Sonja K. Foss |
| Publisher | : Waveland Press |
| Total Pages | : 405 |
| Release | : 2014-04-04 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1478622156 |
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 | : Eric Sowey |
| Publisher | : John Wiley & Sons |
| Total Pages | : 328 |
| Release | : 2017-01-03 |
| Genre | : Mathematics |
| ISBN | : 1119075831 |
This book is a stimulating panoramic tour – quite different from a textbook journey – of the world of statistics in both its theory and practice, for teachers, students and practitioners. At each stop on the tour, the authors investigate unusual and quirky aspects of statistics, highlighting historical, biographical and philosophical dimensions of this field of knowledge. Each chapter opens with perspectives on its theme, often from several points of view. Five original and thought-provoking questions follow. These aim at widening readers’ knowledge and deepening their insight. Scattered among the questions are entertaining puzzles to solve and tantalising paradoxes to explain. Readers can compare their own statistical discoveries with the authors’ detailed answers to all the questions. The writing is lively and inviting, the ideas are rewarding, and the material is extensively cross-referenced. A Panorama of Statistics: Leads readers to discover the fascinations of statistics. Is an enjoyable companion to an undergraduate statistics textbook. Is an enriching source of knowledge for statistics teachers and practitioners. Is unique among statistics books today for its memorable content and engaging style. Lending itself equally to reading through and to dipping into, A Panorama of Statistics will surprise teachers, students and practitioners by the variety of ways in which statistics can capture and hold their interest. Reviews: "As befits the authors' statement that 'this is not a textbook', the structure is unusual. There are twenty-five chapters organised in five sections, each beginning with a brief perspective of a theme in statistics and finishing with five questions related to that theme. The answers provided to the questions, in section six, are as discursive and illuminating as the main body of the text. Even if you are pretty sure you know the answer, it is always worth checking what the authors have to say. Chances are that you will learn something every time. The glimpses and insights given into this enormous and far-reaching discipline succeed in being bewitching, entertaining and inviting; coverage was never the aim." "In summary, this splendid book lives up to the four 'p-values' of its title. It is panoramic in the scope of its survey of statistics, it is full of illuminating perspectives, it sets entertaining and challenging puzzles, and it explores fascinating paradoxes. Read it, enjoy it and learn from it." From Neil Sheldon, Teaching Statistics, volume 9, no. 2, May 2017
| Author | : Gail Burrill |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2019-01-12 |
| Genre | : Education |
| ISBN | : 9783030034719 |
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 | : Martin J. Wainwright |
| Publisher | : Cambridge University Press |
| Total Pages | : 571 |
| Release | : 2019-02-21 |
| Genre | : Business & Economics |
| ISBN | : 1108498027 |
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
| Author | : Kenneth D. Lawrence |
| Publisher | : IAP |
| Total Pages | : 254 |
| Release | : 2013-04-01 |
| Genre | : Mathematics |
| ISBN | : 1623960576 |
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.
