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OverviewFull Product DetailsAuthor: Martin SchmettowPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2021 Weight: 0.735kg ISBN: 9783030463823ISBN 10: 3030463826 Pages: 471 Publication Date: 15 July 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPart I: Preparations.- Introduction.- Getting started with R.- Elements of Bayesian statistics.- Part II: Models.- Basic Linear Models.- Multi-predictor models.- Multi-level models.- Generalized Linear Models.- Working with models.- Appendix: CasesReviewsAuthor InformationMartin Schmettow studied psychology and business computing. He's worked as a scientist and consultant at a German Software Engineering research institute. His current research is on advanced statistical approaches for measuring, planning and controlling usability evaluation studies. Tab Content 6Author Website:Countries AvailableAll regions |