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Ax Facts & Stats

Author : Dave B. Roberts
Publisher : Lulu.com
ISBN 13 : 0557280346
Total Pages : 200 pages
Book Rating : 4.5/5 (572 download)

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Book Synopsis Ax Facts & Stats by : Dave B. Roberts

Download or read book Ax Facts & Stats written by Dave B. Roberts and published by Lulu.com. This book was released on 2010-10-27 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This large format 8.5 by 11 inch paperback Features 97 of ExtremeGuitars.com's celebrated Ax Facts & Stats interviews; including tons of classics from our extensive archive spanning the last 10 years as well as dozens of BRAND NEW never seen interviews! Interviews include guitarists from 3 Doors Down, Anvil, Foghat, Puddle of Mudd, Hall & Oates, Evans Blue, The Great Kat, Finger Eleven, Staind, Train, Gwar, Halestorm, Hinder, Judas Priest, Gary Hoey, Night Ranger, Shinedown, Alabama, Janis Ian, O.A.R., Red Jumpsuit Apparatus, Matchbox Twenty, Sick Puppies, Styx, Stone Sour, Tantric, Candlebox, Sevendust, Stryper, Derek Trucks, Thriving Ivory, Seven Mary Three, Chicago, Cracker and many others! A portion of proceeds from every book sold is being donated to the Children of Fallen Soldiers Relief Fund. Check out the book's official website at www.AFSbook.info for complete lineup.

A Course on Statistics for Finance

Author : Stanley L. Sclove
Publisher : CRC Press
ISBN 13 : 1439892555
Total Pages : 276 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis A Course on Statistics for Finance by : Stanley L. Sclove

Download or read book A Course on Statistics for Finance written by Stanley L. Sclove and published by CRC Press. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Statistics

Author : Karim M. Abadir
Publisher : Cambridge University Press
ISBN 13 : 0521822882
Total Pages : 793 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Statistics by : Karim M. Abadir

Download or read book Statistics written by Karim M. Abadir and published by Cambridge University Press. This book was released on 2018-11-08 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serves as a bridge between elementary and specialized statistics, with exercises that are fully solved and systematically built up.

Linear Algebra and Matrix Analysis for Statistics

Author : Sudipto Banerjee
Publisher : CRC Press
ISBN 13 : 1420095382
Total Pages : 586 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Linear Algebra and Matrix Analysis for Statistics by : Sudipto Banerjee

Download or read book Linear Algebra and Matrix Analysis for Statistics written by Sudipto Banerjee and published by CRC Press. This book was released on 2014-06-06 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge of linear algebra. The authors first address the rudimentary mechanics of linear systems using Gaussian elimination and the resulting decompositions. They introduce Euclidean vector spaces using less abstract concepts and make connections to systems of linear equations wherever possible. After illustrating the importance of the rank of a matrix, they discuss complementary subspaces, oblique projectors, orthogonality, orthogonal projections and projectors, and orthogonal reduction. The text then shows how the theoretical concepts developed are handy in analyzing solutions for linear systems. The authors also explain how determinants are useful for characterizing and deriving properties concerning matrices and linear systems. They then cover eigenvalues, eigenvectors, singular value decomposition, Jordan decomposition (including a proof), quadratic forms, and Kronecker and Hadamard products. The book concludes with accessible treatments of advanced topics, such as linear iterative systems, convergence of matrices, more general vector spaces, linear transformations, and Hilbert spaces.

Asymptotic Statistics

Author : A. W. van der Vaart
Publisher : Cambridge University Press
ISBN 13 : 1107268443
Total Pages : pages
Book Rating : 4.1/5 (72 download)

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Book Synopsis Asymptotic Statistics by : A. W. van der Vaart

Download or read book Asymptotic Statistics written by A. W. van der Vaart and published by Cambridge University Press. This book was released on 2000-06-19 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics.

Matrix Algebra and Its Applications to Statistics and Econometrics

Author : Calyampudi Radhakrishna Rao
Publisher : World Scientific
ISBN 13 : 9789810232689
Total Pages : 560 pages
Book Rating : 4.2/5 (326 download)

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Book Synopsis Matrix Algebra and Its Applications to Statistics and Econometrics by : Calyampudi Radhakrishna Rao

Download or read book Matrix Algebra and Its Applications to Statistics and Econometrics written by Calyampudi Radhakrishna Rao and published by World Scientific. This book was released on 1998 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I recommend this book for its extensive coverage of topics not easily found elsewhere and for its focus on applications".Zentralblatt MATH"The book is an excellent source on linear algebra, matrix theory and applications in statistics and econometrics, and is unique in many ways. I recommend it to anyone interested in these disciplines, and especially in how they benefit from one another".Statistical Papers, 2000

The Knowledgebook

Author :
Publisher : National Geographic Books
ISBN 13 : 9781426201240
Total Pages : 520 pages
Book Rating : 4.2/5 (12 download)

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Book Synopsis The Knowledgebook by :

Download or read book The Knowledgebook written by and published by National Geographic Books. This book was released on 2007 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, visual reference, enhanced by two thousand photographs and illustrations, provides information on all major fields of knowledge and includes timelines, sidebars, cross-reference, and other useful features.

Computational Statistics

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387981454
Total Pages : 732 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Computational Statistics by :

Download or read book Computational Statistics written by and published by Springer Science & Business Media. This book was released on 2010-04-29 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

Multivariate Statistics

Author : Yasunori Fujikoshi
Publisher : John Wiley & Sons
ISBN 13 : 0470411694
Total Pages : 568 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Multivariate Statistics by : Yasunori Fujikoshi

Download or read book Multivariate Statistics written by Yasunori Fujikoshi and published by John Wiley & Sons. This book was released on 2010-01-26 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.

Computational Statistics

Author : James E. Gentle
Publisher : Springer Science & Business Media
ISBN 13 : 0387981446
Total Pages : 732 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Computational Statistics by : James E. Gentle

Download or read book Computational Statistics written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2009-07-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability

Author : Jerzy Neyman
Publisher : Univ of California Press
ISBN 13 :
Total Pages : 784 pages
Book Rating : 4./5 ( download)

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Book Synopsis Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability by : Jerzy Neyman

Download or read book Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability written by Jerzy Neyman and published by Univ of California Press. This book was released on 1961 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability, Statistics and Other Frightening Stuff

Author : Alan R. Jones
Publisher : Routledge
ISBN 13 : 1351661388
Total Pages : 472 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Probability, Statistics and Other Frightening Stuff by : Alan R. Jones

Download or read book Probability, Statistics and Other Frightening Stuff written by Alan R. Jones and published by Routledge. This book was released on 2018-10-09 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Other Frightening Stuff (Volume II of the Working Guides to Estimating & Forecasting series) considers many of the commonly used Descriptive Statistics in the world of estimating and forecasting. It considers values that are representative of the ‘middle ground’ (Measures of Central Tendency), and the degree of data scatter (Measures of Dispersion and Shape) around the ‘middle ground’ values. A number of Probability Distributions and where they might be used are discussed, along with some fascinating and useful ‘rules of thumb’ or short-cut properties that estimators and forecasters can exploit in plying their trade. With the help of a ‘Correlation Chicken’, the concept of partial correlation is explained, including how the estimator or forecaster can exploit this in reflecting varying levels of independence and imperfect dependence between an output or predicted value (such as cost) and an input or predictor variable such as size. Under the guise of ‘Tails of the unexpected’ the book concludes with two chapters devoted to Hypothesis Testing (or knowing when to accept or reject the validity of an assumed estimating relationship), and a number of statistically-based tests to help the estimator to decide whether to include or exclude a data point as an ‘outlier’, one that appears not to be representative of that which the estimator is tasked to produce. This is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.

Introduction to Probability and Statistics

Author : Giri
Publisher : Routledge
ISBN 13 : 1351436708
Total Pages : 560 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Introduction to Probability and Statistics by : Giri

Download or read book Introduction to Probability and Statistics written by Giri and published by Routledge. This book was released on 2019-01-22 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statistical problems, covering the broad range of statistical inference.;Requiring a prerequisite in calculus for complete understanding of the topics discussed, the Second Edition contains new material on: univariate distributions; multivariate distributions; large-sample methods; decision theory; and applications of ANOVA.;A primary text for a year-long undergraduate course in statistics (but easily adapted for a one-semester course in probability only), Introduction to Probability and Statistics is for undergraduate students in a wide range of disciplines-statistics, probability, mathematics, social science, economics, engineering, agriculture, biometry, and education.

Numerical Linear Algebra for Applications in Statistics

Author : James E. Gentle
Publisher : Springer Science & Business Media
ISBN 13 : 1461206235
Total Pages : 229 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Numerical Linear Algebra for Applications in Statistics by : James E. Gentle

Download or read book Numerical Linear Algebra for Applications in Statistics written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Regardless of the software system used, the book describes and gives examples of the use of modern computer software for numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, factorisations, matrix and vector norms, and other topics in linear algebra. The book is essentially self- contained, with the topics addressed constituting the essential material for an introductory course in statistical computing. Numerous exercises allow the text to be used for a first course in statistical computing or as supplementary text for various courses that emphasise computations.

Stochastic Modeling and Mathematical Statistics

Author : Francisco J. Samaniego
Publisher : CRC Press
ISBN 13 : 1466560460
Total Pages : 624 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Stochastic Modeling and Mathematical Statistics by : Francisco J. Samaniego

Download or read book Stochastic Modeling and Mathematical Statistics written by Francisco J. Samaniego and published by CRC Press. This book was released on 2014-01-14 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book’s conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book’s many examples, tutorials, exercises and problems for solution, together constitute an effective resource that students can read and learn from and instructors can count on as a worthy complement to their lectures. Using classroom-tested approaches that engage students in active learning, the text offers instructors the flexibility to control the mathematical level of their course. It contains the mathematical detail that is expected in a course for "majors" but is written in a way that emphasizes the intuitive content in statistical theory and the way theoretical results are used in practice. More than 1000 exercises and problems at varying levels of difficulty and with a broad range of topical focus give instructors many options in assigning homework and provide students with many problems on which to practice and from which to learn.

Robust Statistics

Author : Ricardo A. Maronna
Publisher : John Wiley & Sons
ISBN 13 : 1119214688
Total Pages : 466 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Robust Statistics by : Ricardo A. Maronna

Download or read book Robust Statistics written by Ricardo A. Maronna and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.

Theory of Multivariate Statistics

Author : Martin Bilodeau
Publisher : Springer Science & Business Media
ISBN 13 : 0387226168
Total Pages : 304 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Theory of Multivariate Statistics by : Martin Bilodeau

Download or read book Theory of Multivariate Statistics written by Martin Bilodeau and published by Springer Science & Business Media. This book was released on 2008-01-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.