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Statistical Analysis Of Financial Data In R
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Author : René Carmona
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-13
Statistical Analysis Of Financial Data In R written by René Carmona and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Business & Economics categories.
Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula. This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus. René Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas.
The Statistical Imagination
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Author : Ferris Joseph Ritchey
language : en
Publisher:
Release Date : 2000
The Statistical Imagination written by Ferris Joseph Ritchey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Mathematics categories.
1 - The Statistical Imagination 2 - Statistical Analysis: Error Management and Control 3 - Charts and Graphs: A Picture Says A Thousand Words 4 - Measuring Averages 5 - Measuring Dispersion or Spread in a Distribution of Scores 6 - Probability Theory and the Normal Probability Distribution 7 - Using Probability Theory to Produce Sampling Distributions 8 - Parameter Estimation Using Confidence Intervals 9 - Hypothesis Testing 10 - Single Sample Hypothesis Tests: Establishing the Representativeness of Samples 11 - Bivariate Relationships: T-Test for Comparing the Means of Two Groups 12 - Analysis of Variance: Differences Among Means of Three or More Groups 13 - Nominal Variables: The Chi-Square and Binomial Distributions 14 - Correlation and Regression Part 1: Concepts and Calculations 15 - Correlation and Regression Part 2: Hypothesis Testing and Aspects of a Relationship 16 - Rank Order Correlation Between Two Ordinal Variables.
Register Based Statistics
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Author : Anders Wallgren
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-01
Register Based Statistics written by Anders Wallgren and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Mathematics categories.
REGISTER-BASED STATISTICS Rediscover this authoritative guide to register-based statistics filled with significant new improvements In the newly revised Third Edition of Register-based Statistics: Registers and the National Statistical System, Anders Wallgren and Britt Wallgren deliver a robust exploration of how register-based statistics can be used to its fullest potential. The authors describe how statistical institutes can work on long-term projects to improve administrative systems, as well as estimation methods that can improve the quality of statistical estimates based on registers with quality problems. Readers will also discover how to improve the ways register-statistical issues are introduced, as well as how to create population registers. Finally, the authors draw on their experience from teaching and consulting in several countries to explain how to implement register-based statistics. Key features of the third edition: Discusses the problems new register countries face Explains how registers will improve the efficiency of the national statistical system Clarifies the importance of the system approach Describes how a statistical population register can be created Registers-based statistics require new skills and understanding of new concepts Many important quality indicators are described Explains difficult topics in a pedagogic way Perfect for staff at national statistical institutes and administrative and ministerial authorities belonging to national statistical systems, Register-based Statistics will also prove to be an indispensable resource for undergraduate and graduate students in statistics programs and courses, as well as survey researchers and practitioners.
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-08-01
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Mathematics categories.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Statistics For Business
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Author : Perumal Mariappan
language : en
Publisher: CRC Press
Release Date : 2019-05-21
Statistics For Business written by Perumal Mariappan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-21 with Business & Economics categories.
Statistics for Business is meant as a textbook for students in business, computer science, bioengineering, environmental technology, and mathematics. In recent years, business statistics is used widely for decision making in business endeavours. It emphasizes statistical applications, statistical model building, and determining the manual solution methods. Special Features: This text is prepared based on "self-taught" method. For most of the methods, the required algorithm is clearly explained using flow-charting methodology. More than 200 solved problems provided. More than 175 end-of-chapter exercises with answers are provided. This allows teachers ample flexibility in adopting the textbook to their individual class plans. This textbook is meant to for beginners and advanced learners as a text in Statistics for Business or Applied Statistics for undergraduate and graduate students.
Statistics For Anthropology
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Author : Lorena Madrigal
language : en
Publisher: Cambridge University Press
Release Date : 2012-03
Statistics For Anthropology written by Lorena Madrigal and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03 with Science categories.
A clear, step-by-step guide to statistical methods for anthropology students, providing a solid footing in basic statistical techniques.
Introduction To Social Statistics The Logic Of Statistical Reasoning Cd
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Author : Thomas Dietz
language : en
Publisher: Wiley-Blackwell
Release Date : 2010-02-08
Introduction To Social Statistics The Logic Of Statistical Reasoning Cd written by Thomas Dietz and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-08 with Mathematics categories.
Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research Demonstrates how more than one statistical method can be used to approach a research question Enhanced learning features include a 'walk-through' of statistical concepts, applications, features, advanced topics boxes, and a ‘What Have We Learned’ section at the end of each chapter Supported by a website containing instructor materials including chapter-by-chapter PowerPoint slides, answers to exercises, and an instructor guide Visit www.wiley.com/go/dietz for additional student and instructor resources.
Statistical Computing
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Author : Kennedy
language : en
Publisher: CRC Press
Release Date : 1980-03-01
Statistical Computing written by Kennedy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-03-01 with Mathematics categories.
This book provides an introduction to statistical computing and a critical, balanced presentation of the algorithms and computational methods used in software systems, discussing techniques for implementing algorithms in a computer. It is intended for graduate students in statistics.
A Step By Step Introduction To Statistics For Business
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Author : Richard N Landers
language : en
Publisher: SAGE
Release Date : 2013-04-24
A Step By Step Introduction To Statistics For Business written by Richard N Landers and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-24 with Business & Economics categories.
A concise 'need-to-know' introduction to the essentials of statistics for business and management students with real-world examples and step-by-step tutorials for both Excel and SPSS to enhance and consolidate learning.
Statistical Applications For The Behavioral And Social Sciences
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Author : K. Paul Nesselroade, Jr.
language : en
Publisher: John Wiley & Sons
Release Date : 2018-11-09
Statistical Applications For The Behavioral And Social Sciences written by K. Paul Nesselroade, Jr. and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Social Science categories.
An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of post-hoc analyses, and information on computing in Excel and SPSS Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas. The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. The second edition also includes a new chapter on basic probability theory. This important resource: Contains information regarding the use of statistical software packages; both Excel and SPSS Offers four strategically positioned and accumulating reviews, each containing a set of research-oriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios Incorporates additional statistical information on follow-up analyses such as post-hoc tests and effect sizes Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences Puts renewed emphasis on presentation of data and findings using the APA format Includes supplementary material consisting of a set of "kick-start" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of ready-to-use PowerPoint slides for in-class use Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences.