Practical Electronics for Inventors
creator: Paul Scherz Simon Monk
publisher: McGraw-Hill Education
date: 2016
type: text

Practical Foundations for Programming Languages. 2nd Edition
subject: Principles of Programming
creator: Robert Harper
publisher: Cambridge University Press
date: 2016
format: PDF
language: English
type: Text

Practical Research: Design and Process, 13th Global Edition
subject: Study Skills and Research Methods
creator: Jeanne Ellis Ormrod
publisher: Pearson Education, Limited
date: 2023
format: PDF
language: English
type: Text

Practical System Programming with C - Pragmatic Example Applications in Linux and Unix-Based Operating Systems.
subject: IT
creator: Sri, M. Palakollu
publisher: Apress
date: 2021
format: pdf
language: English

Practice Makes Perfect: Basic French, Premium.3rd Edition
subject: French
creator: Eliane Kurbegov
publisher: McGraw-Hill Education
date: 2021
format: PDF
language: English

Practice Standard For Scheduling, 3rd Edition
subject: Project Management
creator: Project Management Institute
publisher: Project Management Institute
date: 2019
format: PDF
language: English
type: Text

Practice-Relevant Accrual Accounting for the Public Sector: Producers’ and Users’ Perspectives
subject: Accounting
creator: Ouda, Hassan
publisher: Routledge
date: 2021
format: Pdf

Prediction of Electricity Consumption in Ghana: Long or Short Memory
description: In this study, we explore both univariate and multivariate aspects of time series analysis. In the univariate aspect, we evaluated the predictive performance of three widely used univariate time series methods in forecasting the electricity consumption in Ghana during the 1980–2011 periods. The three univariate time series approaches are autoregressive integrated moving average (ARIMA), autoregressive fractional integrated moving average (ARFIMA) and exponential smoothing. In each approach, we examined competing models and the “best” model according to the minimum information criterion and diagnostic checking was selected. The forecast accuracy measure (ie; mean absolute forecast error, MAFE) was computed for each “best” model in the three different approaches. The empirical results revealed that the MAFE for ARIMA, ARFIMA and exponential smoothing were 31.3%, 9.4% and 41.6% respectively. Thus, the comparative analysis of the forecast performance of these methods clearly concluded that the ARFIMA method gives better forecast in predicting electricity consumption in Ghana. And, in the multivariate aspect, we examined whether GDP, export, import and population influences electricity consumption. The results revealed a feedback causality between electricity consumption and economic growth. Again, we established that there exists an uni-directional influence of import, export, population towards electricity consumption. The “best” model of the univariate approach is ARFIMA (2, 0.31, 1) with MAFE of 9.4% while the “best” model for the multivariate approach is vector error correction model VECM (3) with MAFE of 1.5 …
creator: S Twumasi Ankrah, Isaac Ankrah
source: https://scholar.google.com/citations
publisher: Advances in Economics and Business
date: 2015
language: English

Predictive Analytics in Human Resource Management: A Hands-On Approach
subject: Human Resource Management (HRM) and Business Analytics
creator: Nijjer, S., Raj, S.
publisher: Routledge India.
date: 2020
format: PDF
language: English
type: Text

Predictive Analytics in System Reliability
subject: Engineering, Machine Learning, and Applied Mathematics
creator: Vijay Kumar, Hoang Pham
publisher: Springer
date: 2022
format: PDF
language: English