Mathematical Statistics And Data Analysis PDF Download
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Author | : John A. Rice |
Publisher | : |
Total Pages | : 603 |
Release | : 2007 |
Genre | : Statistics |
ISBN | : 9780495118688 |
Download Mathematical Statistics and Data Analysis Book in PDF, ePub and Kindle
This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.
Author | : John A. Rice |
Publisher | : Brooks/Cole |
Total Pages | : 696 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : |
Download Mathematical Statistics and Data Analysis Book in PDF, ePub and Kindle
This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book’s approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book’s descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author | : John A. Rice |
Publisher | : |
Total Pages | : 603 |
Release | : 2007 |
Genre | : Statistics |
ISBN | : 9788131501832 |
Download Mathematical Statistics and Data Analysis Book in PDF, ePub and Kindle
Author | : John A. Rice |
Publisher | : Duxbury Resource Center |
Total Pages | : 680 |
Release | : 1995 |
Genre | : Mathematics |
ISBN | : |
Download Mathematical Statistics and Data Analysis Book in PDF, ePub and Kindle
Re-examines the purpose of the math statistics course. The approach of the text, interweaving traditional topics with data analysis, reflects the use of the computer and is closely tied to the practice of statistics.
Author | : Jeff M. Phillips |
Publisher | : Springer Nature |
Total Pages | : 299 |
Release | : 2021-03-29 |
Genre | : Mathematics |
ISBN | : 3030623416 |
Download Mathematical Foundations for Data Analysis Book in PDF, ePub and Kindle
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data Mining courses. It introduces key conceptual tools necessary for data analysis, including concentration of measure and PAC bounds, cross validation, gradient descent, and principal component analysis. It also surveys basic techniques in supervised (regression and classification) and unsupervised learning (dimensionality reduction and clustering) through an accessible, simplified presentation. Students are recommended to have some background in calculus, probability, and linear algebra. Some familiarity with programming and algorithms is useful to understand advanced topics on computational techniques.
Author | : David Ruppert |
Publisher | : Springer |
Total Pages | : 736 |
Release | : 2015-04-21 |
Genre | : Business & Economics |
ISBN | : 1493926144 |
Download Statistics and Data Analysis for Financial Engineering Book in PDF, ePub and Kindle
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.
Author | : Dieter Rasch |
Publisher | : John Wiley & Sons |
Total Pages | : 846 |
Release | : 2018-01-09 |
Genre | : Mathematics |
ISBN | : 1119385237 |
Download Mathematical Statistics Book in PDF, ePub and Kindle
Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.
Author | : Deborah Nolan |
Publisher | : Springer Science & Business Media |
Total Pages | : 292 |
Release | : 2006-05-02 |
Genre | : Mathematics |
ISBN | : 0387227431 |
Download Stat Labs Book in PDF, ePub and Kindle
Integrating the theory and practice of statistics through a series of case studies, each lab introduces a problem, provides some scientific background, suggests investigations for the data, and provides a summary of the theory used in each case. Aimed at upper-division students.
Author | : Don Hong |
Publisher | : World Scientific |
Total Pages | : 364 |
Release | : 2007-07-10 |
Genre | : Medical |
ISBN | : 9814476234 |
Download Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques Book in PDF, ePub and Kindle
Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis.This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.
Author | : Larry Wasserman |
Publisher | : Springer Science & Business Media |
Total Pages | : 446 |
Release | : 2013-12-11 |
Genre | : Mathematics |
ISBN | : 0387217363 |
Download All of Statistics Book in PDF, ePub and Kindle
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.