Bioenvironmental and public health statistics / edited by P. K. Sen, C. R. Rao |
Pubbl/distr/stampa | Amsterdam : Elsevier, 2000 |
Descrizione fisica | XXIV, 1105 p. ; 25 cm |
Disciplina |
363.70072
362.1 |
Collana | Handbook of statistics |
Soggetto non controllato | Salute - Metodi statistici |
ISBN | 0-444-82900-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990006922910403321 |
Amsterdam : Elsevier, 2000 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis : an introduction with examples in R / / Carsten Dormann |
Autore | Dormann Carsten |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIX, 264 p. 136 illus., 27 illus. in color.) |
Disciplina | 363.70072 |
Soggetto topico |
Environmental sciences - Statistical methods
R (Computer program language) |
ISBN | 3-030-55020-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index. |
Record Nr. | UNINA-9910483973303321 |
Dormann Carsten
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Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental data analysis : an introduction with examples in R / / Carsten Dormann |
Autore | Dormann Carsten |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIX, 264 p. 136 illus., 27 illus. in color.) |
Disciplina | 363.70072 |
Soggetto topico |
Environmental sciences - Statistical methods
R (Computer program language) |
ISBN | 3-030-55020-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index. |
Record Nr. | UNISA-996418194803316 |
Dormann Carsten
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Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Environmental statistics [[electronic resource] ] : methods and applications / / Vic Barnett |
Autore | Barnett Vic |
Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2004 |
Descrizione fisica | 1 online resource (318 p.) |
Disciplina |
363.70072
519.5 |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Mathematical statistics
Environmental sciences - Statistical methods |
ISBN |
1-280-28762-4
9786610287628 0-470-02474-7 0-470-02697-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Environmental Statistics; Contents; Preface; Chapter 1 Introduction; 1.1 Tomorrow is too Late!; 1.2 Environmental Statistics; 1.3 Some Examples; 1.3.1 'Getting it all together'; 1.3.2 'In time and space'; 1.3.3 'Keep it simple'; 1.3.4 'How much can we take?'; 1.3.5 'Over the top'; 1.4 Fundamentals; 1.5 Bibliography; PART I EXTREMAL STRESSES: EXTREMES, OUTLIERS, ROBUSTNESS; Chapter 2 Ordering and Extremes: Applications, models, inference; 2.1 Ordering the Sample; 2.1.1 Order statistics; 2.2 Order-based Inference; 2.3 Extremes and Extremal Processes; 2.3.1 Practical study and empirical models
generalized extreme-value distributions2.4 Peaks over Thresholds and the Generalized Pareto Distribution; Chapter 3 Outliers and Robustness; 3.1 What is an Outlier?; 3.2 Outlier Aims and Objectives; 3.3 Outlier-Generating Models; 3.3.1 Discordancy and models for outlier generation; 3.3.2 Tests of discordancy for specific distributions; 3.4 Multiple Outliers: Masking and Swamping; 3.5 Accommodation: Outlier-Robust Methods; 3.6 A Possible New Approach to Outliers; 3.7 Multivariate Outliers; 3.8 Detecting Multivariate Outliers; 3.8.1 Principles; 3.8.2 Informal methods; 3.9 Tests of Discordancy 3.10 Accommodation3.11 Outliers in linear models; 3.12 Robustness in General; PART II COLLECTING ENVIRONMENTAL DATA: SAMPLING AND MONITORING; Chapter 4 Finite-Population Sampling; 4.1 A Probabilistic Sampling Scheme; 4.2 Simple Random Sampling; 4.2.1 Estimating the mean, X; 4.2.2 Estimating the variance, S(2); 4.2.3 Choice of sample size, n; 4.2.4 Estimating the population total, X(T); 4.2.5 Estimating a proportion, P; 4.3 Ratios and Ratio Estimators; 4.3.1 The estimation of a ratio; 4.3.2 Ratio estimator of a population total or mean; 4.4 Stratified (simple) Random Sampling 4.4.1 Comparing the simple random sample mean and the stratified sample mean4.4.2 Choice of sample sizes; 4.4.3 Comparison of proportional allocation and optimum allocation; 4.4.4 Optimum allocation for estimating proportions; 4.5 Developments of Survey Sampling; Chapter 5 Inaccessible and Sensitive Data; 5.1 Encountered Data; 5.2 Length-Biased or Size-Biased Sampling and Weighted Distributions; 5.2.1 Weighted distribution methods; 5.3 Composite Sampling; 5.3.1 Attribute Sampling; 5.3.2 Continuous variables; 5.3.3 Estimating mean and variance; 5.4 Ranked-Set Sampling 5.4.1 The ranked-set sample mean5.4.2 Optimal estimation; 5.4.3 Ranked-set sampling for normal and exponential distributions; 5.4.4 Imperfect ordering; Chapter 6 Sampling in the Wild; 6.1 Quadrat Sampling; 6.2 Recapture Sampling; 6.2.1 The Petersen and Chapman estimators; 6.2.2 Capture-recapture methods in open populations; 6.3 Transect Sampling; 6.3.1 The simplest case: strip transects; 6.3.2 Using a detectability function; 6.3.3 Estimating f (y); 6.3.4 Modifications of approach; 6.3.5 Point transects or variable circular plots; 6.4 Adaptive Sampling 6.4.1 Simple models for adaptive sampling |
Record Nr. | UNINA-9910143557803321 |
Barnett Vic
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Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2004 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental statistics [[electronic resource] ] : methods and applications / / Vic Barnett |
Autore | Barnett Vic |
Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2004 |
Descrizione fisica | 1 online resource (318 p.) |
Disciplina |
363.70072
519.5 |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Mathematical statistics
Environmental sciences - Statistical methods |
ISBN |
1-280-28762-4
9786610287628 0-470-02474-7 0-470-02697-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Environmental Statistics; Contents; Preface; Chapter 1 Introduction; 1.1 Tomorrow is too Late!; 1.2 Environmental Statistics; 1.3 Some Examples; 1.3.1 'Getting it all together'; 1.3.2 'In time and space'; 1.3.3 'Keep it simple'; 1.3.4 'How much can we take?'; 1.3.5 'Over the top'; 1.4 Fundamentals; 1.5 Bibliography; PART I EXTREMAL STRESSES: EXTREMES, OUTLIERS, ROBUSTNESS; Chapter 2 Ordering and Extremes: Applications, models, inference; 2.1 Ordering the Sample; 2.1.1 Order statistics; 2.2 Order-based Inference; 2.3 Extremes and Extremal Processes; 2.3.1 Practical study and empirical models
generalized extreme-value distributions2.4 Peaks over Thresholds and the Generalized Pareto Distribution; Chapter 3 Outliers and Robustness; 3.1 What is an Outlier?; 3.2 Outlier Aims and Objectives; 3.3 Outlier-Generating Models; 3.3.1 Discordancy and models for outlier generation; 3.3.2 Tests of discordancy for specific distributions; 3.4 Multiple Outliers: Masking and Swamping; 3.5 Accommodation: Outlier-Robust Methods; 3.6 A Possible New Approach to Outliers; 3.7 Multivariate Outliers; 3.8 Detecting Multivariate Outliers; 3.8.1 Principles; 3.8.2 Informal methods; 3.9 Tests of Discordancy 3.10 Accommodation3.11 Outliers in linear models; 3.12 Robustness in General; PART II COLLECTING ENVIRONMENTAL DATA: SAMPLING AND MONITORING; Chapter 4 Finite-Population Sampling; 4.1 A Probabilistic Sampling Scheme; 4.2 Simple Random Sampling; 4.2.1 Estimating the mean, X; 4.2.2 Estimating the variance, S(2); 4.2.3 Choice of sample size, n; 4.2.4 Estimating the population total, X(T); 4.2.5 Estimating a proportion, P; 4.3 Ratios and Ratio Estimators; 4.3.1 The estimation of a ratio; 4.3.2 Ratio estimator of a population total or mean; 4.4 Stratified (simple) Random Sampling 4.4.1 Comparing the simple random sample mean and the stratified sample mean4.4.2 Choice of sample sizes; 4.4.3 Comparison of proportional allocation and optimum allocation; 4.4.4 Optimum allocation for estimating proportions; 4.5 Developments of Survey Sampling; Chapter 5 Inaccessible and Sensitive Data; 5.1 Encountered Data; 5.2 Length-Biased or Size-Biased Sampling and Weighted Distributions; 5.2.1 Weighted distribution methods; 5.3 Composite Sampling; 5.3.1 Attribute Sampling; 5.3.2 Continuous variables; 5.3.3 Estimating mean and variance; 5.4 Ranked-Set Sampling 5.4.1 The ranked-set sample mean5.4.2 Optimal estimation; 5.4.3 Ranked-set sampling for normal and exponential distributions; 5.4.4 Imperfect ordering; Chapter 6 Sampling in the Wild; 6.1 Quadrat Sampling; 6.2 Recapture Sampling; 6.2.1 The Petersen and Chapman estimators; 6.2.2 Capture-recapture methods in open populations; 6.3 Transect Sampling; 6.3.1 The simplest case: strip transects; 6.3.2 Using a detectability function; 6.3.3 Estimating f (y); 6.3.4 Modifications of approach; 6.3.5 Point transects or variable circular plots; 6.4 Adaptive Sampling 6.4.1 Simple models for adaptive sampling |
Record Nr. | UNINA-9910831188103321 |
Barnett Vic
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Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2004 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental statistics [[electronic resource] ] : analysing data for environmental policy |
Pubbl/distr/stampa | Chichester ; ; New York, : Wiley, 1999 |
Descrizione fisica | 1 online resource (294 p.) |
Disciplina |
363.7
363.70072 |
Collana | Novartis Foundation symposium |
Soggetto topico |
Environmental sciences - Statistical methods
Environmental monitoring - Statistical methods Environmental policy |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-34812-4
9786612348129 0-470-51560-0 0-470-51562-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
ENVIRONMENTAL STATISTICS: ANALYSING DATA FOR ENVIRONMENTAL POLICY; Contents; Participants; Chairman's introduction; In search of spatial extremes; Operational evaluation of air quality models; General discussion I; Assessing the human health risk of atmospheric particles; Ozone dose mapping and the utility of models; General discussion I1; Measuring and modelling pollution for risk analysis; A preliminary statistical examination of the effects of uncertainty and variability on environmental regulatory criteria for ozone
Statistics and environmental policy: case studies from long-term environmental monitoring dataBetter late than never? Injecting statistical know-how into legislation on water quality; General discussion I11; Indicator quality for multidisciplinary systems; Integrating data for sustainable development: introducing the distribution of resources framework; Does environmental data collection need statistics?; Air pollution statistics in policy applications; Agriculture sector resource and environmental policy analysis: an economic and biophysical approach; Final discussion; Index of contributors Subject index |
Record Nr. | UNINA-9910144708803321 |
Chichester ; ; New York, : Wiley, 1999 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental statistics [[electronic resource] ] : analysing data for environmental policy |
Pubbl/distr/stampa | Chichester ; ; New York, : Wiley, 1999 |
Descrizione fisica | 1 online resource (294 p.) |
Disciplina |
363.7
363.70072 |
Collana | Novartis Foundation symposium |
Soggetto topico |
Environmental sciences - Statistical methods
Environmental monitoring - Statistical methods Environmental policy |
ISBN |
1-282-34812-4
9786612348129 0-470-51560-0 0-470-51562-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
ENVIRONMENTAL STATISTICS: ANALYSING DATA FOR ENVIRONMENTAL POLICY; Contents; Participants; Chairman's introduction; In search of spatial extremes; Operational evaluation of air quality models; General discussion I; Assessing the human health risk of atmospheric particles; Ozone dose mapping and the utility of models; General discussion I1; Measuring and modelling pollution for risk analysis; A preliminary statistical examination of the effects of uncertainty and variability on environmental regulatory criteria for ozone
Statistics and environmental policy: case studies from long-term environmental monitoring dataBetter late than never? Injecting statistical know-how into legislation on water quality; General discussion I11; Indicator quality for multidisciplinary systems; Integrating data for sustainable development: introducing the distribution of resources framework; Does environmental data collection need statistics?; Air pollution statistics in policy applications; Agriculture sector resource and environmental policy analysis: an economic and biophysical approach; Final discussion; Index of contributors Subject index |
Record Nr. | UNINA-9910829989103321 |
Chichester ; ; New York, : Wiley, 1999 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental statistics / Edited by G. P. Patil, C. R. Rao. |
Pubbl/distr/stampa | Amsterdam : North-Holland, c1994 |
Descrizione fisica | xix, 927 p. ; 24 cm |
Disciplina | 363.70072 |
Collana | Handbook of statistics |
Soggetto non controllato | Biostatistica |
ISBN | 0-444-89803-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990001329500403321 |
Amsterdam : North-Holland, c1994 | ||
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Lo trovi qui: Univ. Federico II | ||
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Environmental statistics / edited by G.P. Patil, C. R. Rao |
Pubbl/distr/stampa | Amsterdam : North-Holland, 1994 |
Descrizione fisica | XIX, 927 p. ; 24 cm |
Disciplina | 363.70072 |
Collana | Handbook of statistics |
Soggetto topico | Ecologia - Metodi statistici |
ISBN | 0-444-089803-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-990000616720203316 |
Amsterdam : North-Holland, 1994 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Environmental statistics / edited by G. P. Patil, C. R. Rao |
Pubbl/distr/stampa | Amsterdam : North-Holland : Elsevier, 1994 |
Descrizione fisica | xix, 927 p. : ill. ; 25 cm |
Disciplina | 363.70072 |
Altri autori (Persone) |
Patil, Ganapati P.
Rao, Calyampudi Radhakrishna |
Collana | Handbook of statistics, 0169-7161 ; 12 |
Soggetto topico | Environmental sciences - Statistical methods |
ISBN | 0444898034 |
Classificazione | AMS 62-01 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991001661399707536 |
Amsterdam : North-Holland : Elsevier, 1994 | ||
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Lo trovi qui: Univ. del Salento | ||
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