{"product_id":"statistical-modelling-of-occupant-behaviour-9781032334608","title":"Statistical Modelling of Occupant Behaviour","description":"\u003cp\u003e • Author(s): Jan Kloppenborg Møller\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDo you have data on occupant behaviour, indoor environment or energy use in buildings? Are you interested in statistical analysis and modelling? Do you have a specific (research) question and dataset and would like to know how to answer the question with the data available?\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eStatistical Modelling of Occupant Behaviour\u003c\/i\u003e\u003c\/b\u003e covers a range of statistical methods and models used for modelling energy- and comfort-related occupant behaviour in buildings. It is a classical textbook on statistics, including many practical examples related to occupant behaviour that are either taken from real research problems or adapted from such.\u003c\/p\u003e\u003cp\u003eThe main focus is traditional statistical techniques based on the likelihood principle that can be applied to occupant behaviour modelling, including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eGeneral, generalised linear and survival models\u003c\/li\u003e \u003cli\u003eMixed effect and hierarchical models\u003c\/li\u003e \u003cli\u003eLinear time series and Markov models\u003c\/li\u003e \u003cli\u003eLinear state space and hidden Markov models\u003c\/li\u003e \u003cli\u003eIllustration of all methods using occupant behaviour examples implemented in R\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe built environment affects occupants who live and work in it, and occupants affect the built environment by adapting it to their needs - for example, by adapting their indoor environments by interacting with building components and systems. These adaptive behaviours account for great uncertainty in the prediction of building energy use and indoor environmental conditions. Occupant behaviour is complex and multi-disciplinary but can be successfully modelled using statistical approaches.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eStatistical Modelling of Occupant Behaviour\u003c\/i\u003e\u003c\/b\u003e is written for researchers and advanced practitioners who work with real-world applications and modelling of occupant data. It describes the kinds of statistical models that may be used in various occupant behaviour modelling research. It gives a theoretical overview of these methods and then applies them to the study of occupant behaviour using readily replaceable examples in the R environment that are based on actual and experimental data.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45242924892311,"sku":"9781032334608","price":11876.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032334608.webp?v=1769233376","url":"https:\/\/atlanticbooks.com\/products\/statistical-modelling-of-occupant-behaviour-9781032334608","provider":"Atlantic Books","version":"1.0","type":"link"}