Hiển thị đơn giản Hiển thị MARC Hiển thị ISBD

# Numerical methods of statistics

Kiểu tài liệu: SáchXuất bản: Cambridge ; New York : Cambridge University Press, 2011Ấn bản: 2nd ed.Mô tả vật lý: xvi, 447 p. : ill. ; 26 cm.Số ISBN: 9780521191586.Nguồn trực tuyến: Click vào đây để truy cập trực tuyến Tóm tắt: This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available in from the author's Web site. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.
Đánh giá trung bình: 0.0 (0 phiếu)
Kiểu tài liệu Kho hiện tại Ký hiệu phân loại Trạng thái Ghi chú Ngày hết hạn ĐKCB Số lượng đặt mượn Kho tài liệu số

Đại học Thăng Long

Thư viện số
005 Sẵn sàng ebook TVS.000319
Tổng số đặt mượn: 0

Includes bibliographical references and index.

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available in from the author's Web site. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder-Mead search algorithm.

Hiện tại chưa có bình luận nào về tài liệu này.

Đăng nhập để gửi bình luận.

THƯ VIỆN TRƯỜNG ĐẠI HỌC THĂNG LONG
Ðịa chỉ: Đường Nghiêm Xuân Yêm - Đại Kim - Hoàng Mai - Hà Nội
Ðiện thọai: 043 559 2376
Email: thuvien@thanglong.edu.vn

Được phát triển bởi D&L