Introduction to Time Series and Forecasting

Introduction to Time Series and Forecast

📁 Introduction to Time Series and Forecasting

✍ Peter J. Brockwell, Richard A. Davis 📂 Library 📅 2002 🏛 Springer 🌐 English

This book builds on previous econometric theory and focuses on the most common or important models for econometric time-series and econometric forecasting.The focus of the book is on the two models at the core of econometric time-series/forecasting: ARMA and ARIMA.It covers different versions of AR

Introduction to time series and forecast

📁 Introduction to time series and forecasting

✍ Peter J. Brockwell, Richard A. Davis 📂 Library 📅 2002 🏛 Springer 🌐 English

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied in economics, engineering, and the natural and social sciences. The book assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This second edition c

Introduction to time series and forecast

📁 Introduction to time series and forecasting

✍ Peter J. Brockwell, Richard A. Davis 📂 Library 📅 2002 🏛 Springer 🌐 English

Cover -- Table of Contents -- Preface -- Chapter 1. Introduction -- 1.1. Examples of Time Series -- 1.2. Objectives of Time Series Analysis -- 1.3. Some Simple Time Series Models -- 1.4. Stationary Models and the Autocorrelation Function -- 1.5. Estima

Introduction to Time Series and Forecast

📁 Introduction to Time Series and Forecasting

✍ Peter J. Brockwell, Richard A. Davis 📂 Library 📅 2016 🏛 Springer 🌐 English

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains

Introduction to Time Series and Forecast

📁 Introduction to Time Series and Forecasting

✍ Peter J. Brockwell; Richard A. Davis 📂 Library 📅 2016 🏛 Springer 🌐 English

This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains

Introduction to time series and forecast

📁 Introduction to time series and forecasting

✍ Peter J.; Richard A. Davis Brockwell 📂 Library 📅 1996 🏛 New York Springer 1996. 🌐 English