Matrix Algebra

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 4 (1)

Theory, Computations, and Applications in Statistics

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

Matrix Algebra

Theory, Computations, and Applications in Statistics

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariate calculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained.

The second part of the book begins with a consideration of various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics, including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the text for a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics.

The third part of this book covers numerical linear algebra. It begins with a discussion of the basics of numerical computations, and then describes accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. This part is essentially self-contained, although it assumes some ability to program in Fortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or as a supplementary text for various courses that emphasize computations.

The book includes a large number of exercises with some solutions provided in an appendix.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2007

نویسنده

James E. Gentle

ناشر

Springer

شابک

0387708723

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب Matrix Algebra

Matrix Algebra

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

2007

نویسنده

ناشر

شابک

کتاب های مرتبط

Early Hollywood

Cemeteries of Seattle

Seattle's Green Lake

U.S. Penitentiary Leavenworth

Aubuchon Hardware

9780738574509

Great Sand Dunes National Park

Hot Rodding in Ventura County

San Francisco's Twin Peaks

Paramedic Crash Course with Online Practice Test

Bob Miller's math for the new GRE

The essentials of United States history, 1500 to 1789, from colony to republic

Wheels of Life

Jude's Herbal Home Remedies

Your Neighborhood Gives Me the Creeps

Serpent of Wisdom

Heal Yourself with Angels

Llewellyn's Truth about Chakras

Spirit Boards for Beginners

The Ghost in the Coal Cellar

365 Ways to Attract Good Luck

دیدگاه کاربران