A brief overview of the classical linear regression model What is a regression model? Regression versus correlation Simple regression Some further terminology Simple linear regression in EViews -- estimation of an optimal hedge ratio The assumptions underlying the classical linear regression model Properties of the OLS estimator Precision and standard errors An introduction to statistical inference 27 27 28 28 37 2.6 2.7 2.8 2.9 v 40 43 44 46 51 vi Contents
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THE WILLIAM STALLINGS BOOKS ON COMPUTER DATA AND COMPUTER COMMUNICATIONS‚ EIGHTH EDITION A comprehensive survey that has become the standard in the field‚ covering (1) data communications‚ including transmission‚ media‚ signal encoding‚ link control‚ and multiplexing; (2) communication networks‚ including circuit- and packet-switched‚ frame relay‚ ATM‚ and LANs; (3) the TCP/IP protocol suite‚ including IPv6‚ TCP‚ MIME‚ and HTTP‚ as well as a detailed treatment of network security. Received the 2007
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MINISTRY OF POWER AND MINERAL RESOURCES OF THE REPUBLIC OF KAZAKHSTAN APPROVED by Prikaz No 189 of the Minister of Power and Mineral Resources of the Republic of Kazakhstan‚ as of August 26‚ 2004.) REGULATIONS ON ELECTRICAL INSTALLATIONS OF THE REPUBLIC OF KAZAKHSTAN (PUE) Astana‚ 2003 TABLE OF CONTENTS
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UNITS‚ PHYSICAL QUANTITIES AND VECTORS 1 1.1. IDENTIFY: Convert units from mi to km and from km to ft. SET UP: 1 in. = 2.54 cm ‚ 1 km = 1000 m ‚ 12 in. = 1 ft ‚ 1 mi = 5280 ft . ⎛ 5280 ft ⎞⎛ 12 in. ⎞⎛ 2.54 cm ⎞⎛ 1 m ⎞⎛ 1 km ⎞ EXECUTE: (a) 1.00 mi = (1.00 mi) ⎜ ⎟⎜ ⎟⎜ ⎟⎜ 2 ⎟⎜ 3 ⎟ = 1.61 km ⎝ 1 mi ⎠⎝ 1 ft ⎠⎝ 1 in. ⎠⎝ 10 cm ⎠⎝ 10 m ⎠ 1.2. ⎛ 103 m ⎞⎛ 102 cm ⎞ ⎛ 1 in. ⎞⎛ 1 ft ⎞ 3 (b) 1.00 km = (1.00 km) ⎜ ⎟⎜ ⎟⎜ ⎟⎜ ⎟ = 3.28 × 10 ft 1 km ⎠⎝ 1 m ⎠ ⎝ 2.54 cm ⎠⎝ 12 in. ⎠ ⎝ EVALUATE: A mile is
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BASIC ECONOMETRICS FOURTH EDITION Damodar N. Gujarati United States Military Academy‚ West Point Boston Burr Ridge‚ IL Dubuque‚ IA Madison‚ WI New York San Francisco St. Louis Bangkok Bogota Caracas Kuala Lumpur Lisbon London Madrid Mexico City Milan Montreal New Delhi Santiago Seoul Singapore Sydney Taipei Toronto McGraw-Hill Higher Education A Division of The McGraw-Hill Companies ’EZ BASIC ECONOMETRICS Published by McGraw-HiII/lrwin‚ a business unit of The McGraw-Hili Companies
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ADVANCE PRAISE FOR INTRODUCTION TO OPERATIONS RESEARCH‚ SEVENTH EDITION Reviewers seem to agree that this is clearly the best edition yet. Here is a sampling of comments: “The new edition seems to contain the most current information available.” “The new edition of Hillier/Lieberman is very well done and greatly enhances this classic text.” “The authors have done an admirable job of rewriting and reorganizing to reflect modern management practices and the latest software developments.”
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