TAILIEUCHUNG - Ebook Pearson new international edition (9/E): Part 1

Part 1 book “Pearson new international edition” has contents: Introduction to forecasting, exploring data patterns and an introduction to forecasting techniques, moving averages and smoothing methods, time series and their components, simple linear regression. | Business Forecasting John E. Hanke Dean Wichern Ninth Edition Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the world Visit us on the World Wide Web at: © Pearson Education Limited 2014 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without either the prior written permission of the publisher or a licence permitting restricted copying in the United Kingdom issued by the Copyright Licensing Agency Ltd, Saffron House, 6–10 Kirby Street, London EC1N 8TS. All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. ISBN 10: 1-292-02300-7 ISBN 13: 978-1-292-02300-7 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library Printed in the United States of America P E A R S O N C U S T O M L I B R A R Y Table of Contents 1. Introduction to Forecasting John E. Hanke/Dean Wichern 1 2. Exploring Data Patterns and an Introduction to Forecasting Techniques John E. Hanke/Dean Wichern 15 3. Moving Averages and Smoothing Methods John E. Hanke/Dean Wichern 61 4. Time Series and Their Components John E. Hanke/Dean Wichern 119 5. Simple Linear Regression John E. Hanke/Dean Wichern 175 6. Multiple Regression Analysis John E. Hanke/Dean Wichern 235 7. Regression with Time Series Data John E. Hanke/Dean Wichern 295 8. The Box-Jenkins (ARIMA) Methodology John E. Hanke/Dean Wichern 355 9. Judgmental Forecasting and Forecast .

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• Pearson new international edition
• Exploring data patterns
• Forecasting techniques
• Moving averages
• Smoothing methods
• Simple linear regression
• Multiple regression analysis
• Regression with time series data
• Judgmental forecasting
• The lodging industry
• Guest service in the lodging industry
• Managing lodging operations
• The front office department
• The housekeeping department
• The maintenance department
• Meeting management
• Beverage operations
• Hotel accounting
• Undergraduate econometrics
• Lecture Undergraduate econometrics
• Kinh tế lượng
• Simple linear regression model
• Coefficient of determination
• Regression analysis
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Simple linear regression analysis
• Model assumptions
• Multiple linear regression
• Certain nonlinear regression models
• Factorial experiments
• Nonparametric statistics
• Ebook Probability and statistics for engineers
• Statistics for engineers
• Probability for engineers
• Applied statistics and probability
• Continuous random variables
• Statistical quality control
• Applied statistics
• Several factors
• Linear regression model
• Econometric model
• Economic model
• Basic business statistics
• Analysis of variance
• Multiple regression
• Multiple regression model building
• Statistical applications
• Analyzing data
• Principles of econometrics
• Using stata
• Using stata for principles of econometrics
• Interval estimation
• Confidence intervals
• Tests of hypotheses
• Model building
• Categorical data analysis
• Statistics for business
• Decision making
• Inference for counts
• Linear patterns
• Curved patterns
• The simple regression model
• Building regression models
• Categorical explanatory variables
• Even you can learn statistics
• Learn statistics
• Hypothesis testing
• Sigma applications of statistics
• Time series
• Decision analysis
• Sampling methods
• Multivariate analysis
• Bayesian statistics
• Index numbers
• Nonparametric methods
• Sample survey
• Statistics for managers using Microsoft excel
• Time series forecasting
• Quality management
• Time series analysis
• Quality control
• Statistical methods
• Available online
• Probabilistic models
• Statistics for management and economics
• Chi squared tests
• Statistical process control
• Statistics for management and economics abbreviated
• Data file sample statistics