LEADER 04906nam 2200589 450 001 9910830803003321 005 20170815160640.0 010 $a1-119-99196-X 010 $a1-119-99157-9 035 $a(CKB)3460000000000092 035 $a(EBL)698526 035 $a(SSID)ssj0000482381 035 $a(PQKBManifestationID)12168082 035 $a(PQKBTitleCode)TC0000482381 035 $a(PQKBWorkID)10525886 035 $a(PQKB)11376944 035 $a(MiAaPQ)EBC698526 035 $a(OCoLC)711780377 035 $a(EXLCZ)993460000000000092 100 $a20101203d2011 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods for trend detection and analysis in the environmental sciences /$fRichard Chandler, E. Marian Scott 210 1$aChichester, West Sussex, United Kingdom :$cWiley,$d2011. 215 $a1 online resource (834 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 $a0-470-01543-8 320 $aIncludes bibliographical references and index. 327 $aCover; Statistics in Practice; Title Page; Copyright; Preface; Contributing authors; Part I: Methodology; Chapter 1: Introduction; 1.1 What is a Trend?; 1.2 Why Analyse Trends?; 1.3 Some Simple Examples; 1.4 Considerations and Difficulties; 1.5 Scope of the Book; 1.6 Further Reading; References; Chapter 2: Exploratory Analysis; 2.1 Data Visualisation; 2.2 Simple Smoothing; 2.3 Linear Filters; 2.4 Classical Test Procedures; 2.5 Concluding Comments; References; Chapter 3: Parametric Modelling-Deterministic Trends; 3.1 The Linear Trend; 3.2 Multiple Regression Techniques 327 $a3.3 Violations of Assumptions3.4 Nonlinear Trends; 3.5 Generalised Linear Models; 3.6 Inference with Small Samples; References; Chapter 4: Nonparametric Trend Estimation; 4.1 An Introduction to Nonparametric Regression; 4.2 Multiple Covariates; 4.3 Other Nonparametric Estimation Techniques; 4.4 Parametric or Nonparametric?; References; Chapter 5: Stochastic Trends; 5.1 Stationary Time Series Models and Their Properties; 5.2 Trend Removal via Differencing; 5.3 Long Memory Models; 5.4 Models for Irregularly Spaced Series; 5.5 State Space and Structural Models; 5.6 Nonlinear Models; References 327 $aChapter 6: Other Issues6.1 Multisite Data; 6.2 Multivariate Series; 6.3 Point Process Data; 6.4 Trends in Extremes; 6.5 Censored Data; References; Part II: Case Studies; Chapter 7: Additive Models for Sulphur Dioxide Pollution in Europe; 7.1 Introduction; 7.2 Additive Models with Correlated Errors; 7.3 Models for the SO2 Data; 7.4 Conclusions; 7.5 Acknowledgement; References; Chapter 8: Rainfall Trends in Southwest Western Australia; 8.1 Motivation; 8.2 The Study Region; 8.3 Data Used in the Study; 8.4 Modelling Methodology; 8.5 Results; 8.6 Summary and Conclusions; References 327 $aChapter 9: Estimation of Common Trends for Trophic Index Series9.1 Introduction; 9.2 Data Exploration; 9.3 Common Trends and Additive Modelling; 9.4 Dynamic Factor Analysis to Estimate Common Trends; 9.5 Discussion; 9.6 Acknowledgement; References; Chapter 10: A Space-Time Study on Forest Health; 10.1 Forest Health: Survey and Data; 10.2 Regression Models for Longitudinal Data with Ordinal Responses; 10.3 Spatiotemporal Models; 10.4 Spatiotemporal Modelling and Analysis of Forest Health Data; 10.5 Acknowledgements; References; Index; Statistics in Practice 330 $a"Statistical methodology itself has made some significant developments in areas that are highly relevant to the problems faced by environmentalists; thus this book fills a gap in the market in which there is currently a lot of interest. Split into two parts, part 1 - Theory and methods - introduces the basis for and scope of the book, and covers amongst others the chief topics of exploratory analysis, non-parametric estimation and testing, and parametric modeling. Part 2 - Case Studies - introduces a number of co-authors, specialists in their own areas of environmental science, to illustrate the application of the theory and methods in practice. The accompanying website develops the practical aspects raised in the book, and provides a useful complementary tool."--Provided by publisher. 410 0$aStatistics in practice. 606 $aEnvironmental sciences$xStatistical methods 615 0$aEnvironmental sciences$xStatistical methods. 676 $a577.01/1 676 $a577.011 686 $aMAT029000$2bisacsh 700 $aChandler$b R. E$g(Richard E.),$01633063 702 $aScott$b E. Marian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830803003321 996 $aStatistical methods for trend detection and analysis in the environmental sciences$93972621 997 $aUNINA