Search results for "statistics"

Read more about A First Course in Electrical and Computer Engineering

A First Course in Electrical and Computer Engineering

Contributor: Scharf

Publisher: OpenStax CNX

This book was written for an experimental freshman course at the University of Colorado. The course is now an elective that the majority of our electrical and computer engineering students take in the second semester of their freshman year, just before their first circuits course. Our department decided to offer this course for several reasons:

(5 reviews)

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Read more about Fundamentals of Electrical Engineering I

Fundamentals of Electrical Engineering I

Contributor: Johnson

Publisher: OpenStax CNX

The course focuses on the creation, manipulation, transmission, and reception of information by electronic means. Elementary signal theory; time- and frequency-domain analysis; Sampling Theorem. Digital information theory; digital transmission of analog signals; error-correcting codes.

(1 review)

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Read more about Think Bayes: Bayesian Statistics Made Simple

Think Bayes: Bayesian Statistics Made Simple

Contributor: Downey

Publisher: Green Tea Press

Think Bayes is an introduction to Bayesian statistics using computational methods.

(1 review)

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Read more about Think Stats: Probability and Statistics for Programmers - 2e

Think Stats: Probability and Statistics for Programmers - 2e

Contributor: Downey

Publisher: Green Tea Press

Think Stats is an introduction to Probability and Statistics for Python programmers.

(1 review)

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Read more about Applied Probability

Applied Probability

Contributor: Pfeiffer

Publisher: OpenStax CNX

This is a "first course" in the sense that it presumes no previous course in probability. The mathematical prerequisites are ordinary calculus and the elements of matrix algebra. A few standard series and integrals are used, and double integrals are evaluated as iterated integrals. The reader who can evaluate simple integrals can learn quickly from the examples how to deal with the iterated integrals used in the theory of expectation and conditional expectation. Appendix B provides a convenient compendium of mathematical facts used frequently in this work. And the symbolic toolbox, implementing MAPLE, may be used to evaluate integrals, if desired.

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Read more about Introduction to Mathematical Analysis I - Second Edition

Introduction to Mathematical Analysis I - Second Edition

Contributors: Lafferriere, Lafferriere, and Nguyen

Publisher: Portland State University Library

Our goal with this textbook is to provide students with a strong foundation in mathematical analysis. Such a foundation is crucial for future study of deeper topics of analysis. Students should be familiar with most of the concepts presented here after completing the calculus sequence. However, these concepts will be reinforced through rigorous proofs.

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Read more about Information Strategies for Communicators

Information Strategies for Communicators

Contributors: Hansen and Paul

Publisher: University of Minnesota Libraries Publishing

Written by two nationally recognized experts in information strategy, Information Strategies for Communicators leads students step-by-step through the information search and evaluation process for news and strategic communication message production. The book includes a conceptual model of the information strategy process, case studies to illustrate the process in action, and links to current examples throughout.

(3 reviews)

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Read more about Abstract Algebra: Theory and Applications

Abstract Algebra: Theory and Applications

Contributor: Judson

Publisher: University of Puget Sound

This text is intended for a one- or two-semester undergraduate course in abstract algebra. Traditionally, these courses have covered the theoretical aspects of groups, rings, and fields. However, with the development of computing in the last several decades, applications that involve abstract algebra and discrete mathematics have become increasingly important, and many science, engineering, and computer science students are now electing to minor in mathematics. Though theory still occupies a central role in the subject of abstract algebra and no student should go through such a course without a good notion of what a proof is, the importance of applications such as coding theory and cryptography has grown significantly.

(4 reviews)

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Read more about Natural Resources Biometrics

Natural Resources Biometrics

Contributor: Kiernan

Publisher: Open SUNY

Natural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.

(2 reviews)

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Read more about Introductory Statistics

Introductory Statistics

Contributors: Illowsky, Dean, and Chiappetta

Publisher: OpenStax

Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.

(23 reviews)

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