Author: STRANGPublisher:
ISBN: 9781111990046
Category :
Languages : en
Pages :
Book Description
SSM LINEAR ALGEBRA APPS 5E
Author: STRANGLinear Algebra - Ssm
Author: PoolePublisher:
ISBN: 9780534390914
Category :
Languages : en
Pages :
Book Description
Contains worked solutions to odd-numbered exercises in the text, section-by-section study tips (definitions and concepts to master, skills to develop, links to later sections), and chapter review tests (short answer with solutions).
Ricardo Linear Algebra Ssm
Author: Ricardo(WCS)Contemporary Linear Algebra with SSM & Study Tips set
Author: Howard AntonPublisher: Wiley
ISBN: 9780470039908
Category : Mathematics
Languages : en
Pages :
Book Description
Linear Algebra DSM/SSM 1173 & SSH 1523
Author: Mohammed Mohd TalibPublisher:
ISBN:
Category : Algebras, Linear
Languages : en
Pages : 119
Book Description
Nakos Linear Algebra Ssm
Author: NakosStudent Solution Manual to Accompany the 4th Edition of Vector Calculus, Linear Algebra, and Differential Forms, a Unified Approach
Author: John Hamal HubbardPublisher:
ISBN: 9780971576674
Category : Algebras, Linear
Languages : en
Pages : 284
Book Description
Mathematical Statistics with Applications in R
Author: Kandethody M. RamachandranPublisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Applied Linear Statistical Models
Author: Michael H. KutnerPublisher: McGraw-Hill/Irwin
ISBN: 9780072386882
Category : Mathematics
Languages : en
Pages : 1396
Book Description
Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.
Linear Algebra and Its Applications
Author: David C. LayPublisher:
ISBN: 9781292020556
Category : Algebras, Linear
Languages : en
Pages : 800
Book Description
NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value--this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. xxxxxxxxxxxxxxx For courses in linear algebra.This package includes MyMathLab(R). With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete "Rn" setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand. Personalize learning with MyMathLabMyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. MyMathLab includes assignable algorithmic exercises, the complete eBook, interactive figures, tools to personalize learning, and more.