seriesJ

Sampling interval 9 seconds; observations for 296 pairs of data points.

datasets

Building customized transfer function and ARIMA models with multiple operators and parameter restrictions. Functions for model identification, model estimation (exact or conditional maximum likelihood), model diagnostic checking, automatic outlier detection, calendar effects, forecasting and seasonal adjustment. See Bell and Hillmer (1983) <doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung <ISBN:978-1-118-67502-1>, Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.

Jose L. Gallego

tfarima

Transfer Function and ARIMA Models

seriesJ function

A object of class data.frame with 296 rows and 2 columns:<dl class="dl-horizontal">
<dt>X</dt><dd>0.60-0.04 (input gas rate in cubir feet per minute.)</dd>
<dt>Y</dt><dd>% CO2 in outlet gas.</dd>
</dl>

Format

Gas furnace data — seriesJ

A object of class data.frame with 296 rows and 2 columns:<dl class='dl-horizontal'>
<dt>X</dt><dd>0.60-0.04 (input gas rate in cubir feet per minute.)</dd>
<dt>Y</dt><dd>% CO2 in outlet gas.</dd>
</dl>

seriesJ: Gas furnace data

Description

Usage

Arguments

Format

References