Construction Analytics Forecasting and Investment Valuation /

This text covers R program coding for the implementation of two essential data analytics for practical construction problems. The first part of this book explains time series basics, models, and forecasting approaches in the context of the construction industry, accompanied by practical examples in...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Shahandashti, Mohsen (Зохиогч), Abediniangerabi, Bahram (Зохиогч), Zahed, Ehsan (Зохиогч), Kim, Sooin (Зохиогч)
Байгууллагын зохиогч: SpringerLink (Online service)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Хэвлэл:1st ed. 2023.
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/978-3-031-27292-9
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • Chapter 1. Introduction to Construction Analytics
  • Chapter 2. Construction Forecasting using Univariate Time Series Models
  • Chapter 3. Construction Forecasting Using Time-series Volatility Models
  • Chapter 4. Construction Forecasting using Multivariate Time Series Models
  • Chapter 5. Construction Forecasting Using Recurrent Neural Networks
  • Chapter 6. Investment Valuation of Construction Projects Under Uncertainty
  • Appendices: Construction time series datasets, including National Highway Construction Cost Index (NHCCI), Federal Highway Construction Spending, Iowa Highway Construction.