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Biblioteca

MARC Lista (tabellare)
Spatial Variability in Environmental Science : Patterns, Processes, and Analyses / / edited by John P. Tiefenbacher, Davod Poreh
Spatial Variability in Environmental Science : Patterns, Processes, and Analyses / / edited by John P. Tiefenbacher, Davod Poreh
Pubbl/distr/stampa London : , : IntechOpen, , 2020
Descrizione fisica 1 online resource (196 pages) : illustrations
Disciplina 363.7
Soggetto topico Environmental sciences - Statistical methods
ISBN 1-83962-460-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Spatial Variability in Environmental Science
Record Nr. UNINA-9910424647703321
London : , : IntechOpen, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Spatial Variability in Environmental Science : Patterns, Processes, and Analyses / / edited by John P. Tiefenbacher and Davod Poreh
Spatial Variability in Environmental Science : Patterns, Processes, and Analyses / / edited by John P. Tiefenbacher and Davod Poreh
Pubbl/distr/stampa London, England : , : IntechOpen, , 2020
Descrizione fisica 1 online resource (196 pages)
Disciplina 519.5
Soggetto topico Spatial analysis (Statistics)
Environmental sciences - Statistical methods
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Spatial Variability in Environmental Science
Record Nr. UNINA-9910688469903321
London, England : , : IntechOpen, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical data analysis explained : applied environmental statistics with R / / Clemens Reimann ... [et al.]
Statistical data analysis explained : applied environmental statistics with R / / Clemens Reimann ... [et al.]
Pubbl/distr/stampa Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008
Descrizione fisica 1 online resource (371 p.)
Disciplina 519.5
Altri autori (Persone) ReimannClemens <1952->
Soggetto topico Environmental sciences - Statistical methods
Environmental sciences - Data processing
R (Computer program language)
ISBN 1-282-35011-0
9786612350115
0-470-98760-X
0-470-98759-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistical Data Analysis Explained Applied Environmental Statistics with R; Contents; Preface; Acknowledgements; About the authors; 1 Introduction; 2 Preparing the Data for Use in R and DAS+R; 3 Graphics to Display the Data Distribution; 4 Statistical Distribution Measures; 5 Mapping Spatial Data; 6 Further Graphics for Exploratory Data Analysis; 7 Defining Background and Threshold, Identification of Data Outliers and Element Sources; 8 Comparing Data in Tables and Graphics; 9 Comparing Data Using Statistical Tests
10 Improving Data Behaviour for Statistical Analysis: Ranking and Transformations11 Correlation; 12 Multivariate Graphics; 13 Multivariate Outlier Detection; 14 Principal Component Analysis (PCA) and Factor Analysis (FA); 15 Cluster Analysis; 16 Regression Analysis (RA); 17 Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods; 18 Quality Control (QC); 19 Introduction to R and Structure of the DAS+R Graphical User Interface; References; Index
Record Nr. UNINA-9910144536503321
Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistical methods for trend detection and analysis in the environmental sciences / / Richard Chandler, E. Marian Scott
Statistical methods for trend detection and analysis in the environmental sciences / / Richard Chandler, E. Marian Scott
Autore Chandler R. E (Richard E.)
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom : , : Wiley, , 2011
Descrizione fisica 1 online resource (834 p.)
Disciplina 577.01/1
577.011
Collana Statistics in practice
Soggetto topico Environmental sciences - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-119-99196-X
1-119-99157-9
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
3.3 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
Chapter 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
Chapter 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
Record Nr. UNINA-9910130878103321
Chandler R. E (Richard E.)  
Chichester, West Sussex, United Kingdom : , : Wiley, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods for trend detection and analysis in the environmental sciences / / Richard Chandler, E. Marian Scott
Statistical methods for trend detection and analysis in the environmental sciences / / Richard Chandler, E. Marian Scott
Autore Chandler R. E (Richard E.)
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom : , : Wiley, , 2011
Descrizione fisica 1 online resource (834 p.)
Disciplina 577.01/1
577.011
Collana Statistics in practice
Soggetto topico Environmental sciences - Statistical methods
ISBN 1-119-99196-X
1-119-99157-9
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
3.3 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
Chapter 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
Chapter 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
Record Nr. UNINA-9910830803003321
Chandler R. E (Richard E.)  
Chichester, West Sussex, United Kingdom : , : Wiley, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical methods in finance / edited by G.S. Maddala, C. R. Rao
Statistical methods in finance / edited by G.S. Maddala, C. R. Rao
Pubbl/distr/stampa Amsterdam : North-Holland : Elsevier, 1996
Descrizione fisica xvi, 733 p. : ill. ; 25 cm
Disciplina 519.503
Altri autori (Persone) Maddala, G. S.
Rao, Calyampudi Radhakrishna
Collana Handbook of statistics, 0169-7161 ; 14
Soggetto topico Environmental sciences - Statistical methods
ISBN 0444819649
Classificazione AMS 62-00
AMS 62P20
AMS 62P05
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991001658779707536
Amsterdam : North-Holland : Elsevier, 1996
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistics for censored environmental data using Minitab and R / / Dennis R. Helsel
Statistics for censored environmental data using Minitab and R / / Dennis R. Helsel
Autore Helsel Dennis R
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2012
Descrizione fisica 1 online resource (347 p.)
Disciplina 363.730285/53
Collana Wiley series in statistics in practice
Soggetto topico Environmental sciences - Statistical methods
Pollution - Measurement - Statistical methods
R (Computer program language)
ISBN 1-280-59221-4
9786613622044
1-118-16276-5
1-118-16272-2
1-118-16278-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto STATISTICS FOR CENSORED ENVIRONMENTAL DATA USING MINITAB AND R; CONTENTS; Preface; Acknowledgments; Introduction to the First Edition: An Accident Waiting To Happen; Introduction to the Second Edition: Invasive Data; 1 Things People Do with Censored Data that Are Just Wrong; Why Not Substitute-Missing the Signals that Are Present in the Data; Why Not Substitute?-Finding Signals that Are Not There; So Why Not Substitute?; Other Common Misuses of Censored Data; 2 Three Approaches for Censored Data; Approach 1: Nonparametric Methods after Censoring at the Highest Reporting Limit
Approach 2: Maximum Likelihood EstimationApproach 3: Nonparametric Survival Analysis Methods; Application of Survival Analysis Methods to Environmental Data; Parallels to Uncensored Methods; 3 Reporting Limits; Limits When the Standard Deviation is Considered Constant; Insider Censoring-Biasing Interpretations; Reporting the Machine Readings of all Measurements; Limits When the Standard Deviation Changes with Concentration; For Further Study; 4 Reporting, Storing, and Using Censored Data; Reporting and Storing Censored Data; Using Interval-Censored Data; Exercises; 5 Plotting Censored Data
BoxplotsHistograms; Empirical Distribution Function; Survival Function Plots; Probability Plot; X-Y Scatterplots; Exercises; 6 Computing Summary Statistics and Totals; Nonparametric Methods after Censoring at the Highest Reporting Limit; Maximum Likelihood Estimation; The Nonparametric Kaplan-Meier and Turnbull Methods; ROS: A "Robust" Imputation Method; Methods in Excel; Handling Data with High Reporting Limits; A Review of Comparison Studies; Summing Data with Censored Observations; Exercises; 7 Computing Interval Estimates; Parametric Intervals; Nonparametric Intervals
Intervals for Censored Data by SubstitutionIntervals for Censored Data by Maximum Likelihood; Intervals for the Lognormal Distribution; Intervals Using "Robust" Parametric Methods; Nonparametric Intervals for Censored Data; Bootstrapped Intervals; For Further Study; Exercises; 8 What Can be Done When All Data Are Below the Reporting Limit?; Point Estimates; Probability of Exceeding the Reporting Limit; Exceedance Probability for a Standard Higher than the Reporting Limit; Hypothesis Tests Between Groups; Summary; Exercises; 9 Comparing Two Groups; Why Not Use Substitution?
Simple Nonparametric Methods After Censoring at the Highest Reporting LimitMaximum Likelihood Estimation; Nonparametric Methods; Value of the Information in Censored Observations; Interval-Censored Score Tests: Testing Data that Include (DL to RL) Values; Paired Observations; Summary of Two-Sample Tests for Censored Data; Exercises; 10 Comparing Three or More Groups; Substitution Does Not Work-Invasive Data; Nonparametric Methods after Censoring at the Highest Reporting Limit; Maximum Likelihood Estimation; Nonparametric Method-The Generalized Wilcoxon Test; Summary; Exercises; 11 Correlation
Types of Correlation Coefficients
Record Nr. UNINA-9910141196803321
Helsel Dennis R  
Hoboken, N.J., : Wiley, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Statistics for earth and environmental scientists / / John H. Schuenemeyer, Lawrence J. Drew
Statistics for earth and environmental scientists / / John H. Schuenemeyer, Lawrence J. Drew
Autore Schuenemeyer J. H
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (422 p.)
Disciplina 550.72/7
Soggetto topico Geology - Statistical methods
Earth sciences - Statistical methods
Environmental sciences - Statistical methods
ISBN 1-283-37167-7
9786613371676
1-118-10221-5
0-470-65089-3
0-470-65070-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistics for Earth and Environmental Scientists; Contents; Preface; 1 Role of Statistics and Data Analysis; 1.1 INTRODUCTION; 1.2 CASE STUDIES; 1.3 DATA; 1.4 SAMPLES VERSUS THE POPULATION: SOME NOTATION; 1.5 VECTOR AND MATRIX NOTATION; 1.6 FREQUENCY DISTRIBUTIONS AND HISTOGRAMS; 1.7 DISTRIBUTION AS A MODEL; 1.8 SAMPLE MOMENTS; 1.9 NORMAL (GAUSSIAN) DISTRIBUTION; 1.10 EXPLORATORY DATA ANALYSIS; 1.11 ESTIMATION; 1.12 BIAS; 1.13 CAUSES OF VARIANCE; 1.14 ABOUT DATA; 1.15 REASONS TO CONDUCT STATISTICALLY BASED STUDIES; 1.16 DATA MINING; 1.17 MODELING; 1.18 TRANSFORMATIONS
1.19 STATISTICAL CONCEPTS1.20 STATISTICS PARADIGMS; 1.21 SUMMARY; EXERCISES; 2 Modeling Concepts; 2.1 INTRODUCTION; 2.2 WHY CONSTRUCT A MODEL?; 2.3 WHAT DOES A STATISTICAL MODEL DO?; 2.4 STEPS IN MODELING; 2.5 IS A MODEL A UNIQUE SOLUTION TO A PROBLEM?; 2.6 MODEL ASSUMPTIONS; 2.7 DESIGNED EXPERIMENTS; 2.8 REPLICATION; 2.9 SUMMARY; EXERCISES; 3 Estimation and Hypothesis Testing on Means and Other Statistics; 3.1 INTRODUCTION; 3.2 INDEPENDENCE OF OBSERVATIONS; 3.3 CENTRAL LIMIT THEOREM; 3.4 SAMPLING DISTRIBUTIONS; 3.5 CONFIDENCE INTERVAL ESTIMATE ON A MEAN
3.6 CONFIDENCE INTERVAL ON THE DIFFERENCE BETWEEN MEANS3.7 HYPOTHESIS TESTING ON MEANS; 3.8 BAYESIAN HYPOTHESIS TESTING; 3.9 NONPARAMETRIC HYPOTHESIS TESTING; 3.10 BOOTSTRAP HYPOTHESIS TESTING ON MEANS; 3.11 TESTING MULTIPLE MEANS VIA ANALYSIS OF VARIANCE; 3.12 MULTIPLE COMPARISONS OF MEANS; 3.13 NONPARAMETRIC ANOVA; 3.14 PAIRED DATA; 3.15 KOLMOGOROV-SMIRNOV GOODNESS-OF-FIT TEST; 3.16 COMMENTS ON HYPOTHESIS TESTING; 3.17 SUMMARY; EXERCISES; 4 Regression; 4.1 INTRODUCTION; 4.2 PITTSBURGH COAL QUALITY CASE STUDY; 4.3 CORRELATION AND COVARIANCE; 4.4 SIMPLE LINEAR REGRESSION
4.5 MULTIPLE REGRESSION4.6 OTHER REGRESSION PROCEDURES; 4.7 NONLINEAR MODELS; 4.8 SUMMARY; EXERCISES; 5 Time Series; 5.1 INTRODUCTION; 5.2 TIME DOMAIN; 5.3 FREQUENCY DOMAIN; 5.4 WAVELETS; 5.5 SUMMARY; EXERCISES; 6 Spatial Statistics; 6.1 INTRODUCTION; 6.2 DATA; 6.3 THREE-DIMENSIONAL DATA VISUALIZATION; 6.4 SPATIAL ASSOCIATION; 6.5 EFFECT OF TREND; 6.6 SEMIVARIOGRAM MODELS; 6.7 KRIGING; 6.8 SPACE-TIME MODELS; 6.9 SUMMARY; EXERCISES; 7 Multivariate Analysis; 7.1 INTRODUCTION; 7.2 MULTIVARIATE GRAPHICS; 7.3 PRINCIPAL COMPONENTS ANALYSIS; 7.4 FACTOR ANALYSIS; 7.5 CLUSTER ANALYSIS
7.6 MULTIDIMENSIONAL SCALING7.7 DISCRIMINANT ANALYSIS; 7.8 TREE-BASED MODELING; 7.9 SUMMARY; EXERCISES; 8 Discrete Data Analysis and Point Processes; 8.1 INTRODUCTION; 8.2 DISCRETE PROCESS AND DISTRIBUTIONS; 8.3 POINT PROCESSES; 8.4 LATTICE DATA AND MODELS; 8.5 PROPORTIONS; 8.6 CONTINGENCY TABLES; 8.7 GENERALIZED LINEAR MODELS; 8.8 SUMMARY; EXERCISES; 9 Design of Experiments; 9.1 INTRODUCTION; 9.2 SAMPLING DESIGNS; 9.3 DESIGN OF EXPERIMENTS; 9.4 COMMENTS ON FIELD STUDIES AND DESIGN; 9.5 MISSING DATA; 9.6 SUMMARY; EXERCISES; 10 Directional Data; 10.1 INTRODUCTION; 10.2 CIRCULAR DATA
10.3 SPHERICAL DATA
Altri titoli varianti Earth and environmental scientists
Record Nr. UNINA-9910139399903321
Schuenemeyer J. H  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Uncertainty Analyses in Environmental Sciences and Hydrogeology : Methods and Applications to Subsurface Contamination / / Rachid Ababou [and four others]
Uncertainty Analyses in Environmental Sciences and Hydrogeology : Methods and Applications to Subsurface Contamination / / Rachid Ababou [and four others]
Autore Ababou R (Rachid)
Edizione [First edition.]
Pubbl/distr/stampa Singapore : , : Springer, , [2023]
Descrizione fisica 1 online resource (IX, 95 p. 31 illus., 27 illus. in color.)
Disciplina 363.70072
Collana SpringerBriefs in Applied Sciences and Technology Series
Soggetto topico Environmental sciences - Statistical methods
Uncertainty (Information theory)
ISBN 981-9962-41-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction, objectives -- Overview of uncertainty propagation methods -- Review of Probabilistic versus Fuzzy Approaches to Uncertainty Propagation in Geosciences -- Fuzzy set characterization of uncertainty (fuzzy variables) -- Applications of uncertainty analyses on simplified models -- Applications of uncertainty analysis to 3D subsurface contamination problems -- Discussion and conclusions.
Record Nr. UNINA-9910799232603321
Ababou R (Rachid)  
Singapore : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui