A User s Guide to Principal Components

A User s Guide to Principal Components
Author: J. Edward Jackson
Publsiher: John Wiley & Sons
Total Pages: 592
Release: 2005-01-21
ISBN: 0471725323
Category: Mathematics
Language: EN, FR, DE, ES & NL

A User s Guide to Principal Components Book Excerpt:

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. From the Reviews of A User’s Guide to PrincipalComponents "The book is aptly and correctly named–A User’sGuide. It is the kind of book that a user at any level, novice orskilled practitioner, would want to have at hand for autotutorial,for refresher, or as a general-purpose guide through the maze ofmodern PCA." –Technometrics "I recommend A User’s Guide to Principal Components toanyone who is running multivariate analyses, or who contemplatesperforming such analyses. Those who write their own software willfind the book helpful in designing better programs. Those who useoff-the-shelf software will find it invaluable in interpreting theresults." –Mathematical Geology

The Concept of Probability in Statistical Physics

The Concept of Probability in Statistical Physics
Author: Y. M. Guttmann
Publsiher: Cambridge University Press
Total Pages: 267
Release: 1999-07-13
ISBN: 0521621283
Category: Philosophy
Language: EN, FR, DE, ES & NL

The Concept of Probability in Statistical Physics Book Excerpt:

A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics.

Systems Engineering with Economics Probability and Statistics

Systems Engineering with Economics  Probability  and Statistics
Author: C. Jotin Khisty,Jamshid Mohammadi,Adjo A. Amedkudzi
Publsiher: J. Ross Publishing
Total Pages: 600
Release: 2012
ISBN: 1604270551
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Systems Engineering with Economics Probability and Statistics Book Excerpt:

This title offers an overview of the fundamentals and practice applications of probability and statistics, microeconomics, engineering economics, hard and soft systems analysis, and sustainable development and sustainability applications in engineering planning.

Handbook of Mathematics for Engineers and Scientists

Handbook of Mathematics for Engineers and Scientists
Author: Andrei D. Polyanin,Alexander V. Manzhirov
Publsiher: CRC Press
Total Pages: 1544
Release: 2006-11-27
ISBN: 1420010514
Category: Mathematics
Language: EN, FR, DE, ES & NL

Handbook of Mathematics for Engineers and Scientists Book Excerpt:

The Handbook of Mathematics for Engineers and Scientists covers the main fields of mathematics and focuses on the methods used for obtaining solutions of various classes of mathematical equations that underlie the mathematical modeling of numerous phenomena and processes in science and technology. To accommodate different mathematical backgrounds, the preeminent authors outline the material in a simplified, schematic manner, avoiding special terminology wherever possible. Organized in ascending order of complexity, the material is divided into two parts. The first part is a coherent survey of the most important definitions, formulas, equations, methods, and theorems. It covers arithmetic, elementary and analytic geometry, algebra, differential and integral calculus, special functions, calculus of variations, and probability theory. Numerous specific examples clarify the methods for solving problems and equations. The second part provides many in-depth mathematical tables, including those of exact solutions of various types of equations. This concise, comprehensive compendium of mathematical definitions, formulas, and theorems provides the foundation for exploring scientific and technological phenomena.

Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science
Author: Roberto Rivera
Publsiher: John Wiley & Sons
Total Pages: 688
Release: 2020-02-19
ISBN: 1119486416
Category: Mathematics
Language: EN, FR, DE, ES & NL

Principles of Managerial Statistics and Data Science Book Excerpt:

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.

The Principles of Experimental Research

The Principles of Experimental Research
Author: K Srinagesh
Publsiher: Elsevier
Total Pages: 432
Release: 2011-04-01
ISBN: 0080497810
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Principles of Experimental Research Book Excerpt:

The need to understand how to design and set up an investigative experiment is nearly universal to all students in engineering, applied technology and science, as well as many of the social sciences. Many schools offer courses in this fundamental skill and this book is meant to offer an easily accessible introduction to the essential tools needed, including an understanding of logical processes, how to use measurement, the do’s and don’ts of designing experiments so as to achieve reproducible results and the basic mathematical underpinnings of how data should be analyzed and interpreted. The subject is also taught as part of courses on Engineering statistics, Quality Control in Manufacturing, and Senior Design Project, in which conducting experimental research is usually integral to the project in question. * Covers such essential fundamentals as "definitions," "quantification," and standardization of test materials * Shows students and professionals alike how to plan an experiment—from how to frame a proper Hypothesis to designing an experiment to accurately reflect the nature of the problem to "designing with factors." * Includes a separate section on the use of Statistics in Experimental Research, including overview of probability and statistics, as well as Randomization, Replication and Sampling, as well as proper ways to draw statistical inferences from experimental data.

Statistics for Spatial Data

Statistics for Spatial Data
Author: Noel Cressie
Publsiher: John Wiley & Sons
Total Pages: 928
Release: 2015-03-18
ISBN: 1119115183
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics for Spatial Data Book Excerpt:

The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.

Forecasting with Dynamic Regression Models

Forecasting with Dynamic Regression Models
Author: Alan Pankratz
Publsiher: John Wiley & Sons
Total Pages: 400
Release: 2012-01-20
ISBN: 1118150783
Category: Mathematics
Language: EN, FR, DE, ES & NL

Forecasting with Dynamic Regression Models Book Excerpt:

One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.

Fundamentals of Exploratory Analysis of Variance

Fundamentals of Exploratory Analysis of Variance
Author: David C. Hoaglin,Frederick Mosteller,John W. Tukey
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2009-09-25
ISBN: 0470317663
Category: Mathematics
Language: EN, FR, DE, ES & NL

Fundamentals of Exploratory Analysis of Variance Book Excerpt:

The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasizes both the individual observations and the separate parts that the analysis produces. Most chapters include exercises and the appendices give selected percentage points of the Gaussian, t, F chi-squared and studentized range distributions.

Statistical Methods The Geometric Approach

Statistical Methods  The Geometric Approach
Author: David J. Saville,Graham R. Wood
Publsiher: Springer Science & Business Media
Total Pages: 561
Release: 2012-12-06
ISBN: 1461209714
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistical Methods The Geometric Approach Book Excerpt:

A novel exposition of the analysis of variance and regression. The key feature here is that these tools are viewed in their natural mathematical setting - the geometry of finite dimensions. This is because geometry clarifies the basic statistics and unifies the many aspects of analysing variance and regression.

Linear Models for Multivariate Time Series and Spatial Data

Linear Models for Multivariate  Time Series  and Spatial Data
Author: Ronald Christensen
Publsiher: Springer Science & Business Media
Total Pages: 318
Release: 2013-11-11
ISBN: 1475741030
Category: Mathematics
Language: EN, FR, DE, ES & NL

Linear Models for Multivariate Time Series and Spatial Data Book Excerpt:

This is a self-contained companion volume to the authors book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use the three fundamental ideas of best linear prediction, projections, and Mahalanobis' distance to exploit their properties in examining multivariate, time series and spatial data. Ronald Christensen is Professor of Statistics at the University of New Mexico, and is recognised internationally as an expert in the theory and application of linear models.

Plane Answers to Complex Questions

Plane Answers to Complex Questions
Author: Ronald Christensen
Publsiher: Springer Science & Business Media
Total Pages: 453
Release: 2013-03-09
ISBN: 1475724772
Category: Mathematics
Language: EN, FR, DE, ES & NL

Plane Answers to Complex Questions Book Excerpt:

The second edition of Plane Answers has many additions and a couple of deletions. New material includes additional illustrative examples in Ap pendices A and B and Chapters 2 and 3, as well as discussions of Bayesian estimation, near replicate lack of fit tests, testing the independence assump tion, testing variance components, the interblock analysis for balanced in complete block designs, nonestimable constraints, analysis of unreplicated experiments using normal plots, tensors, and properties of Kronecker prod ucts and Vee operators. The book contains an improved discussion of the relation between ANOVA and regression, and an improved presentation of general Gauss-Markov models. The primary material that has been deleted are the discussions of weighted means and of log-linear models. The mate rial on log-linear models was included in Christensen (1990b), so it became redundant here. Generally, I have tried to clean up the presentation of ideas wherever it seemed obscure to me. Much of the work on the second edition was done while on sabbatical at the University of Canterbury in Christchurch, New Zealand. I would par ticularly like to thank John Deely for arranging my sabbatical. Through their comments and criticisms, four people were particularly helpful in con structing this new edition. I would like to thank Wes Johnson, Snehalata Huzurbazar, Ron Butler, and Vance Berger.

Sensitivity Analysis in Linear Regression

Sensitivity Analysis in Linear Regression
Author: Samprit Chatterjee,Ali S. Hadi
Publsiher: John Wiley & Sons
Total Pages: 315
Release: 2009-09-25
ISBN: 0470317426
Category: Mathematics
Language: EN, FR, DE, ES & NL

Sensitivity Analysis in Linear Regression Book Excerpt:

Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit.

Probability and Statistical Inference

Probability and Statistical Inference
Author: Miltiadis C. Mavrakakis,Jeremy Penzer
Publsiher: CRC Press
Total Pages: 444
Release: 2021-03-29
ISBN: 131536204X
Category: Mathematics
Language: EN, FR, DE, ES & NL

Probability and Statistical Inference Book Excerpt:

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting. Features: •Complete introduction to mathematical probability, random variables, and distribution theory. •Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes. •Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference. •Detailed introduction to Bayesian statistics and associated topics. •Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC). This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields.

Modern Cryptography Volume 1

Modern Cryptography Volume 1
Author: Zhiyong Zheng
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 9811909202
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Modern Cryptography Volume 1 Book Excerpt:

Physical Principles of Chemical Engineering

Physical Principles of Chemical Engineering
Author: Peter Grassmann
Publsiher: Elsevier
Total Pages: 928
Release: 2013-10-22
ISBN: 1483153843
Category: Science
Language: EN, FR, DE, ES & NL

Physical Principles of Chemical Engineering Book Excerpt:

Physical Principles of Chemical Engineering covers the significant advancements in the understanding of the physical principles of chemical engineering. This book is composed of 12 chapters that describe chemical unit processes through analogy with the unit of operations of chemical engineering. The introductory chapters survey the concept and principles of mass and energy balances, as well as the application of entropy. The next chapters deal with the probability and kinetic theories of gases, the physical aspects of solids, the different dispersed systems, and the principles and application of fluid dynamics. Other chapters discuss the property dimension and model theory; heat, mass, and momentum transfer; and the characteristics of multiphase flow processes. The final chapters review the model of rheological bodies, the molecular-kinetic interpretations of rheological behavior, and the principles of reaction kinetics. This book will prove useful to chemical engineers.

Introductory Probability and Statistics Revised Edition

Introductory Probability and Statistics  Revised Edition
Author: Robert Kozak,Antal Kozak,Christina Staudhammer,Susan Watts
Publsiher: CABI
Total Pages: 424
Release: 2019-09-23
ISBN: 1789243300
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Introductory Probability and Statistics Revised Edition Book Excerpt:

This revised edition of this unique textbook is specifically designed for statistics and probability courses taught to students of forestry and related disciplines. It introduces probability, statistical techniques, data analysis, hypothesis testing, experimental design, sampling methods, nonparametric tests and statistical quality control, using examples drawn from a forestry, wood science and conservation context. The book now includes several new practical exercises for students to practice data analysis and experimental design themselves. It has been updated throughout, and its scope has been broadened to reflect the evolving and dynamic nature of forestry, bringing in examples from conservation science, recreation and urban forestry.

Leading Personalities in Statistical Sciences

Leading Personalities in Statistical Sciences
Author: Norman L. Johnson,Samuel Kotz
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2011-09-26
ISBN: 1118150724
Category: Mathematics
Language: EN, FR, DE, ES & NL

Leading Personalities in Statistical Sciences Book Excerpt:

A fascinating chronicle of the lives and achievements of the menand women who helped shapethe science of statistics This handsomely illustrated volume will make enthralling readingfor scientists, mathematicians, and science history buffs alike.Spanning nearly four centuries, it chronicles the lives andachievements of more than 110 of the most prominent names intheoretical and applied statistics and probability. From Bernoullito Markov, Poisson to Wiener, you will find intimate profiles ofwomen and men whose work led to significant advances in the areasof statistical inference and theory, probability theory, governmentand economic statistics, medical and agricultural statistics, andscience and engineering. To help readers arrive at a fullerappreciation of the contributions these pioneers made, the authorsvividly re-create the times in which they lived while exploring themajor intellectual currents that shaped their thinking andpropelled their discoveries. Lavishly illustrated with more than 40 authentic photographs andwoodcuts * Includes a comprehensive timetable of statistics from theseventeenth century to the present * Features edited chapters written by 75 experts from around theglobe * Designed for easy reference, features a unique numbering schemethat matches the subject profiled with his or her particular fieldof interest

Introductory Probability and Statistial Inference

Introductory Probability and Statistial Inference
Author: College Entrance Examination Board. Commission on Mathematics
Publsiher: Unknown
Total Pages: 264
Release: 1959
ISBN: 1928374650XXX
Category: Logic, Symbolic and mathematical
Language: EN, FR, DE, ES & NL

Introductory Probability and Statistial Inference Book Excerpt:

Environmental Statistics and Data Analysis

Environmental Statistics and Data Analysis
Author: Wayne R. Ott
Publsiher: Routledge
Total Pages: 336
Release: 2018-12-13
ISBN: 1351450077
Category: Mathematics
Language: EN, FR, DE, ES & NL

Environmental Statistics and Data Analysis Book Excerpt:

This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting importa