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Author: Robert D. Drennan
Publisher: Springer Science & Business Media
ISBN: 1441904131
Category : Social Science
Languages : en
Pages : 332
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Book Description
In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology. Using feedback from students and teachers who have been using the first edition, as well as another ten years of personal experience with the text, the author has provided an updated and revised second edition with a number of important changes. New topics covered include: -Proportions and Densities -Error Ranges for Medians -Resampling Approaches -Residuals from Regression -Point Sampling -Multivariate Analysis -Similarity Measures -Multidimensional Scaling -Principal Components Analysis -Cluster Analysis Those already familiar with the clear and useful format of Statistics for Archaeologists will find this new edition a welcome update, and the new sections will make this seminal textbook an indispensible resource for a whole new group of students, professors, and practitioners.
Author: Robert D. Drennan
Publisher: Springer Science & Business Media
ISBN: 1441904131
Category : Social Science
Languages : en
Pages : 332
Get Book Here
Book Description
In the decade since its publication, the first edition of Statistics for Archaeologists has become a staple in the classroom. Taking a jargon-free approach, this teaching tool introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology. Using feedback from students and teachers who have been using the first edition, as well as another ten years of personal experience with the text, the author has provided an updated and revised second edition with a number of important changes. New topics covered include: -Proportions and Densities -Error Ranges for Medians -Resampling Approaches -Residuals from Regression -Point Sampling -Multivariate Analysis -Similarity Measures -Multidimensional Scaling -Principal Components Analysis -Cluster Analysis Those already familiar with the clear and useful format of Statistics for Archaeologists will find this new edition a welcome update, and the new sections will make this seminal textbook an indispensible resource for a whole new group of students, professors, and practitioners.
Author: Jaroslav Hájek
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 326
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Book Description
The death of Jaroslav Hajek on June 10, 1974 was a heavy loss to many mathe maticians all around the world. The impact of his work on mathematical statistics has been so extraordinary that it has completely changed the character of some fields of this science. Some of his ideas have become a part of the common statistical conSClOusness. Hajek's contribution to statistics includes research in the theory of rank tests, parametric estimation, probability sampling, statistical inference in stochastic processes and various other specializations. His results were always of fundamental character for the corresponding field and they continue to stimulate further research and progress. For proving the results, he developed original methods which are now commonly used for the solution of many related problems. Hajek was an enthusiastic mathematician; the secret of his success was in his love for the subject and in his great sense for practical applications; just practical problems provided him the source of excellent mathematical problems and ideas. We see the best way of commemorating Jaroslav Hajek in the arrangement of the present volume which collects papers of authors whose work is related to Hajek's work and who were friends of him. The authors come from Czechoslovakia, Hungary. the Netherlands, Sweden, U.S.A .. U.S.S.R., and West Germany. I wish to thank most cordially all the authors and all who contributed in any way to the success of the publication.
Author: J. Pfanzagl
Publisher: Springer Science & Business Media
ISBN: 1461257697
Category : Mathematics
Languages : en
Pages : 324
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Book Description
Author: Isadora Antoniano-Villalobos
Publisher: Springer
ISBN: 9783030315535
Category : Mathematics
Languages : en
Pages : 154
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Book Description
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big data”. Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.
Author: Sir Ronald Aylmer Fisher
Publisher:
ISBN:
Category :
Languages : en
Pages : 674
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Book Description
Author: Indranil Ghosh
Publisher: Springer Nature
ISBN: 3030629007
Category : Mathematics
Languages : en
Pages : 443
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Book Description
This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.
Author: Amy Batchelor
Publisher: Columbia University Press
ISBN: 0231550227
Category : Social Science
Languages : en
Pages : 143
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Book Description
Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
Author: Olga Valenzuela
Publisher: Springer Nature
ISBN: 3030562190
Category : Business & Economics
Languages : en
Pages : 452
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Book Description
This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.
Author: Dani Ben-Zvi
Publisher: Springer
ISBN: 3319661957
Category : Education
Languages : en
Pages : 523
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Book Description
This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.
Author: Eugene Lukacs
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 344
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Book Description
Probability; Applications of probability; Information theory; Statistical theory.
