03275nam 2200697Ia 450 991096054210332120200520144314.097866123713259781282371323128237132097814443122941444312294(CKB)1000000000822238(EBL)470328(OCoLC)609849124(SSID)ssj0000364395(PQKBManifestationID)11267728(PQKBTitleCode)TC0000364395(PQKBWorkID)10395598(PQKB)10337975(MiAaPQ)EBC470328(Au-PeEL)EBL470328(CaPaEBR)ebr10308387(CaONFJC)MIL237132(PPN)156561719(Perlego)2766008(EXLCZ)99100000000082223820020521d2002 uy 0engur|n|---|||||txtccrPlant-animal interactions an evolutionary approach /edited by Carlos M. Herrera, Olle Pellmyr1st ed.Oxford ;Malden, MA Blackwell Sciencec20021 online resource (331 p.)Description based upon print version of record.9780632052677 0632052678 Includes bibliographical references (p. 263-293) and index.Plant-Animal Interactions; Contents; Contributors; Preface; Acknowledgements; Geochronological perspective; Part 1: Introduction; Chapter 1: Species interactions and the evolution of biodiversity; Chapter 2: The history of associations between plants and animals; Part 2: Mostly Antagonisms; Chapter 3: Plant-insect interactions in terrestrial ecosystems; color plates; Chapter 4: Mammalian herbivory in terrestrial environments; Chapter 5: Granivory; Part 3: Mostly Mutualisms; Chapter 6: Pollination by animals; Chapter 7: Seed dispersal by vertebrates; Part 4: SynthesisChapter 8: Ant-plant interactionsChapter 9: Plant-animal interactions: future directions; Appendix: Supplementary information for Chapter 2; References; IndexInteractions between plants and animals are incredibly diverse and complex and span terrestrial, atmospheric and aquatic environments. The last decade has seen the emergence of a vast quantity of data on the subject and there is now a perceived need among both teachers and undergraduate students for a new textbook that incorporates the numerous recent advances made in the field. The book is intended for use by advanced level undergraduate and beginning graduate students, taking related courses in wider ecology degree programmes. Very few books cover this subject and those that do are oAnimal-plant relationshipsEcologyEvolution (Biology)Animal-plant relationships.Ecology.Evolution (Biology)574.524577.8Herrera Carlos M1167648Pellmyr Olle1812668MiAaPQMiAaPQMiAaPQBOOK9910960542103321Plant-animal interactions4365172UNINA03359nam 22005895 450 991100745740332120250522130306.03-031-86670-310.1007/978-3-031-86670-8(MiAaPQ)EBC32128681(Au-PeEL)EBL32128681(CKB)38874965800041(DE-He213)978-3-031-86670-8(EXLCZ)993887496580004120250522d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierExercise Book of Statistical Inference /by Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (346 pages)La Matematica per il 3+2,2038-5757 ;1733-031-86669-X Part I: Statistical Inference -- 1 Fundamentals of Probability and Statistics -- 2 Sufficient, Minimal, and Complete Statistics -- 3 Point Estimators -- 4 Uniform Minimum Variance Unbiased Estimators (UMVUEs) -- 5 Likelihood Ratio Test -- 6 Uniformly Most Powerful Test -- 7 Confidence Intervals -- 8 Asymptotic Statistics -- Part II: Regression Models and Analysis of Variance -- 9 Linear Regression -- 10 Generalized Linear Models -- 11 ANOVA: Analysis of Variance -- 12 Summary Exercises -- Appendix A: Probability Distributions.This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the book is primarily focused on exercises to be solved with pen and paper, so that students can apply knowledge derived from lemmas and theorems; while the second part consists of labs, which involve both the manual implementation of algorithms and the learning of built-in tools for efficient analysis of datasets derived from real-world problems. To optimize the understanding of the topics developed and to guide the reader through their studies, the book is organized into chapters, each of which includes an introductory section that reviews the theoretical foundations of statistical inference, followed by a second part with exercises, each accompanied by a comprehensive solution on paper and, when appropriate, using software. This book is aimed at undergraduate students in Statistics, Mathematics, Engineering, and for graduate-level courses in Data Science.La Matematica per il 3+2,2038-5757 ;173StatisticsProbabilitiesMathematicsStatistical Theory and MethodsProbability TheoryMathematicsStatistics.Probabilities.Mathematics.Statistical Theory and Methods.Probability Theory.Mathematics.519.5Gasperoni Francesca1065746Ieva Francesca517059Paganoni Anna Maria300845MiAaPQMiAaPQMiAaPQBOOK9911007457403321Exercise Book of Statistical Inference4389828UNINA