Numerical Methods, Matrices, Probability, 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 Numerical Methods, Matrices, Probability, Statistics PDF full book. Access full book title Numerical Methods, Matrices, Probability, Statistics by Cedric Austen Bardell Smith. Download full books in PDF and EPUB format.
Author: Cedric Austen Bardell Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 682
Get Book Here
Book Description
Author: Cedric Austen Bardell Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 682
Get Book Here
Book Description
Author: John F. Monahan
Publisher: Cambridge University Press
ISBN: 9780521791687
Category : Computers
Languages : en
Pages : 446
Get Book Here
Book Description
This 2001 book provides a basic background in numerical analysis and its applications in statistics.
Author: Cedric A. B. Smith
Publisher:
ISBN:
Category : Biomathematics
Languages : en
Pages : 732
Get Book Here
Book Description
Author: J.P. Singh
Publisher: Ane Books Pvt Ltd
ISBN: 9788180522161
Category : Numerical analysis
Languages : en
Pages : 340
Get Book Here
Book Description
Author: Kai-Tai Fang
Publisher: CRC Press
ISBN: 9780412465208
Category : Mathematics
Languages : en
Pages : 356
Get Book Here
Book Description
This book is a survey of recent work on the application of number theory in statistics. The essence of number-theoretic methods is to find a set of points that are universally scattered over an s-dimensional unit cube. In certain circumstances this set can be used instead of random numbers in the Monte Carlo method. The idea can also be applied to other problems such as in experimental design. This book will illustrate the idea of number-theoretic methods and their application in statistics. The emphasis is on applying the methods to practical problems so only part-proofs of theorems are given.
Author: Kenneth Lange
Publisher: Springer Science & Business Media
ISBN: 1441959440
Category : Business & Economics
Languages : en
Pages : 606
Get Book Here
Book Description
Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.
Author: E. Seneta
Publisher: Springer Science & Business Media
ISBN: 0387327924
Category : Mathematics
Languages : en
Pages : 295
Get Book Here
Book Description
Since its inception by Perron and Frobenius, the theory of non-negative matrices has developed enormously and is now being used and extended in applied fields of study as diverse as probability theory, numerical analysis, demography, mathematical economics, and dynamic programming, while its development is still proceeding rapidly as a branch of pure mathematics in its own right. While there are books which cover this or that aspect of the theory, it is nevertheless not uncommon for workers in one or another branch of its development to be unaware of what is known in other branches, even though there is often formal overlap. One of the purposes of this book is to relate several aspects of the theory, insofar as this is possible. The author hopes that the book will be useful to mathematicians; but in particular to the workers in applied fields, so the mathematics has been kept as simple as could be managed. The mathematical requisites for reading it are: some knowledge of real-variable theory, and matrix theory; and a little knowledge of complex-variable; the emphasis is on real-variable methods. (There is only one part of the book, the second part of 55.5, which is of rather specialist interest, and requires deeper knowledge.) Appendices provide brief expositions of those areas of mathematics needed which may be less g- erally known to the average reader.
Author: Shayle R. Searle
Publisher: John Wiley & Sons
ISBN: 1118935160
Category : Mathematics
Languages : en
Pages : 516
Get Book Here
Book Description
A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. The Second Edition also: Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices Covers the analysis of balanced linear models using direct products of matrices Analyzes multiresponse linear models where several responses can be of interest Includes extensive use of SAS, MATLAB, and R throughout Contains over 400 examples and exercises to reinforce understanding along with select solutions Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes Matrix Algebra Useful for Statistics, Second Edition is an ideal textbook for advanced undergraduate and first-year graduate level courses in statistics and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra. THE LATE SHAYLE R. SEARLE, PHD, was professor emeritus of biometry at Cornell University. He was the author of Linear Models for Unbalanced Data and Linear Models and co-author of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand. ANDRÉ I. KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.
Author: S. Ejaz Ahmed
Publisher: Springer
ISBN: 3030175197
Category : Mathematics
Languages : en
Pages : 190
Get Book Here
Book Description
This volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016. The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other’s tools, and fostering new collaborations at the interface of matrix theory and statistics.
Author: Siegmund Brandt
Publisher: Springer Science & Business Media
ISBN: 3319037625
Category : Science
Languages : en
Pages : 532
Get Book Here
Book Description
The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.
