Search Results: 'statistical computing'

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110 results for "statistical computing"
Computational Statistics By Paul Hewson
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Notes to accompany UoP course on Computational Statistics.
Principles of Statistics By David Krus
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Statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data, from simple to advanced, are conceptualized by using the paradigm defining... More > statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations. The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics that will show you how the data analysis is really done.< Less
Principles of Statistics By David Krus
Hardcover: $60.00
Ships in 6-8 business days.
Statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data, from simple to advanced, are conceptualized by using the paradigm defining... More > statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations. The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics that will show you how the data analysis is really done.< Less
Structure of Statistics By David Krus
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Advanced methods of analysis and interpretation of data are conceptualized by using paradigm defining statistics as a modern successor of epistemology. It introduces a new method of addition and... More > subtraction of matrices, which is indispensable for computing matrices adjacent to ordered graphs, construction of dendrograms of their hierarchical structures, and 3-dimensional rendering of probability distributions. Discussion revolves around concise descriptions of multiple regression, analysis of variance, principal components analysis, factor analysis, canonical analysis, and multivariate analysis of variance. The formal description of these methods is complemented by a step-by-step analysis of minute matrices, consisting of different arrangements of numbers 1 2 3 4 5. The description of methods of statistical analysis and theory underlying their applications is presented as to minimize anxiety and maximize interest in quantitative scientific investigations.< Less
MEM12025A – Use Graphical Techniques and Perform Simple Statistical Computations By Warren Blackadder
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This unit covers interpreting and constructing graphs and charts from given or determined data, and performing basic statistical calculations. Graphs and charts may be applied to information from... More > various work contexts, quality processes, production and market trends and other engineering applications. A range of devices may be used to assist with calculations.< Less
Doing Basic Statistics with R By Larry Pace
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Learn to perform basic descriptive and inferential statistics using a free and powerful program, R. R is a statistical language and computing enviornment, but Dr. Larry Pace demystifies the program,... More > showing the reader how to acquire and use the program for the summary statistics, charts and graphs, and inferential statistics commonly taught in a first statistics course.< Less
Statistical Analysis Software Packages By Homework Help Classof1
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When you might get directly involved in computer-based data analysis, my guess is that you’ll be a little amazed at the capabilities of most statistical analysis software packages. I’ve... More > already alluded to the rather extraordinary number of cases and variables that most packages can handle, but that’s just the start of it. The truly amazing element is the speed at which the data are manipulated and calculations are performed.< Less
An Introduction to Business Statistics By Arthur Dryver
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This book is an introductory book to statistics with a focus on business applications. The book covers the basics of analyzing data and making presentations for senior management. It gives sample... More > presentations for various statistical projects. The book also has examples of SPSS computer output. Another one of the unique features of this book is that it has JavaScript embedded in it and opening the book in Adobe Reader the reader gets access to practically an infinite number of problem solution sets for some basic statistics problems. To view various free material on learning statistics check out my website, at www.LearnViaWeb.com< Less
Statistical Inference Through Data Compression By Rudi Cilibrasi
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This thesis provides a breadth-first tour of artificial intelligence techniques using ordinary data compression programs like zip. Using mathematical theory such as Kolmogorov Complexity and... More > Shannon's Coding Theory, we arrive at a unique and generic perspective on universal learning with a plethora of real examples. Included are results from literature, astronomy, animal and virus evolution, linguistics, semantics, and music. An open source software package, CompLearn, is available for download so that interested readers may continue the research themselves in their own applications.< Less
Introduction to Probability and Statistics Using R By G. Jay Kerns
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This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the... More > class include mathematics, engineering, and computer science majors.< Less