Statistical analysis in climate research /:
Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
1999.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography. |
| Beschreibung: | 1 online resource (x, 484 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 455-468) and index. |
| ISBN: | 0511010184 9780511010187 9780511612336 0511612338 9780511052774 0511052774 |
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| 245 | 1 | 0 | |a Statistical analysis in climate research / |c Hans von Storch and Francis W. Zwiers. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 1999. | ||
| 300 | |a 1 online resource (x, 484 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 455-468) and index. | ||
| 505 | 0 | |a 1. Introduction -- I. Fundamentals. 2. Probability Theory. 3. Distributions of Climate Variables. 4. Concepts in Statistical Inference. 5. Estimation -- II. Confirmation and Analysis. 6. The Statistical Test of a Hypothesis. 7. Analysis of Atmospheric Circulation Problems -- III. Fitting Statistical Models. 8. Regression. 9. Analysis of Variance -- IV. Time Series. 10. Time Series and Stochastic Processes. 11. Parameters of Univariate and Bivariate Time Series. 12. Estimating Covariance Functions and Spectra -- V. Eigen Techniques. 13. Empirical Orthogonal Functions. 14. Canonical Correlation Analysis. 15. POP Analysis. 16. Complex Eigentechniques -- VI. Other Topics. 17. Specific Statistical Concepts in Climate Research. 18. Forecast Quality Evaluation. B. Elements of Linear Analysis -- C. Fourier Analysis and Fourier Transform -- D. Normal Density and Cumulative Distribution Function -- E. The X[superscript 2] Distribution -- F. Student's t Distribution -- G. The F Distribution -- H. Table-Look-Up Test -- I. Critical Values for the Mann-Whitney Test -- J. Quantiles of the Squared-ranks Test Statistic -- K. Quantiles of the Spearman Rank Correlation Coefficient -- L. Correlations and Probability Statements -- M. Some Proofs of Theorems and Equations. | |
| 520 | |a Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 650 | 0 | |a Climatology |x Statistical methods. | |
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| 650 | 7 | |a Climatology |x Statistical methods |2 fast | |
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| contents | 1. Introduction -- I. Fundamentals. 2. Probability Theory. 3. Distributions of Climate Variables. 4. Concepts in Statistical Inference. 5. Estimation -- II. Confirmation and Analysis. 6. The Statistical Test of a Hypothesis. 7. Analysis of Atmospheric Circulation Problems -- III. Fitting Statistical Models. 8. Regression. 9. Analysis of Variance -- IV. Time Series. 10. Time Series and Stochastic Processes. 11. Parameters of Univariate and Bivariate Time Series. 12. Estimating Covariance Functions and Spectra -- V. Eigen Techniques. 13. Empirical Orthogonal Functions. 14. Canonical Correlation Analysis. 15. POP Analysis. 16. Complex Eigentechniques -- VI. Other Topics. 17. Specific Statistical Concepts in Climate Research. 18. Forecast Quality Evaluation. B. Elements of Linear Analysis -- C. Fourier Analysis and Fourier Transform -- D. Normal Density and Cumulative Distribution Function -- E. The X[superscript 2] Distribution -- F. Student's t Distribution -- G. The F Distribution -- H. Table-Look-Up Test -- I. Critical Values for the Mann-Whitney Test -- J. Quantiles of the Squared-ranks Test Statistic -- K. Quantiles of the Spearman Rank Correlation Coefficient -- L. Correlations and Probability Statements -- M. Some Proofs of Theorems and Equations. |
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Introduction -- I. Fundamentals. 2. Probability Theory. 3. Distributions of Climate Variables. 4. Concepts in Statistical Inference. 5. Estimation -- II. Confirmation and Analysis. 6. The Statistical Test of a Hypothesis. 7. Analysis of Atmospheric Circulation Problems -- III. Fitting Statistical Models. 8. Regression. 9. Analysis of Variance -- IV. Time Series. 10. Time Series and Stochastic Processes. 11. Parameters of Univariate and Bivariate Time Series. 12. Estimating Covariance Functions and Spectra -- V. Eigen Techniques. 13. Empirical Orthogonal Functions. 14. Canonical Correlation Analysis. 15. POP Analysis. 16. Complex Eigentechniques -- VI. Other Topics. 17. Specific Statistical Concepts in Climate Research. 18. Forecast Quality Evaluation. B. Elements of Linear Analysis -- C. Fourier Analysis and Fourier Transform -- D. Normal Density and Cumulative Distribution Function -- E. The X[superscript 2] Distribution -- F. Student's t Distribution -- G. The F Distribution -- H. Table-Look-Up Test -- I. Critical Values for the Mann-Whitney Test -- J. Quantiles of the Squared-ranks Test Statistic -- K. Quantiles of the Spearman Rank Correlation Coefficient -- L. Correlations and Probability Statements -- M. Some Proofs of Theorems and Equations.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. 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| genre | Electronic books. Leermiddelen (vorm) (NL-LeOCL)088143767 gtt Naslagwerken (vorm) (NL-LeOCL)088144143 gtt |
| genre_facet | Electronic books. Leermiddelen (vorm) Naslagwerken (vorm) |
| id | ZDB-4-EBA-ocm52740157 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:15:26Z |
| institution | BVB |
| isbn | 0511010184 9780511010187 9780511612336 0511612338 9780511052774 0511052774 |
| language | English |
| oclc_num | 52740157 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (x, 484 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | Cambridge University Press, |
| record_format | marc |
| spelling | Storch, H. v. (Hans von), 1949- https://id.oclc.org/worldcat/entity/E39PBJjCXjqdcDdDGTKKWWDwmd http://id.loc.gov/authorities/names/n95019509 Statistical analysis in climate research / Hans von Storch and Francis W. Zwiers. Cambridge ; New York : Cambridge University Press, 1999. 1 online resource (x, 484 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references (pages 455-468) and index. 1. Introduction -- I. Fundamentals. 2. Probability Theory. 3. Distributions of Climate Variables. 4. Concepts in Statistical Inference. 5. Estimation -- II. Confirmation and Analysis. 6. The Statistical Test of a Hypothesis. 7. Analysis of Atmospheric Circulation Problems -- III. Fitting Statistical Models. 8. Regression. 9. Analysis of Variance -- IV. Time Series. 10. Time Series and Stochastic Processes. 11. Parameters of Univariate and Bivariate Time Series. 12. Estimating Covariance Functions and Spectra -- V. Eigen Techniques. 13. Empirical Orthogonal Functions. 14. Canonical Correlation Analysis. 15. POP Analysis. 16. Complex Eigentechniques -- VI. Other Topics. 17. Specific Statistical Concepts in Climate Research. 18. Forecast Quality Evaluation. B. Elements of Linear Analysis -- C. Fourier Analysis and Fourier Transform -- D. Normal Density and Cumulative Distribution Function -- E. The X[superscript 2] Distribution -- F. Student's t Distribution -- G. The F Distribution -- H. Table-Look-Up Test -- I. Critical Values for the Mann-Whitney Test -- J. Quantiles of the Squared-ranks Test Statistic -- K. Quantiles of the Spearman Rank Correlation Coefficient -- L. Correlations and Probability Statements -- M. Some Proofs of Theorems and Equations. Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography. Print version record. English. Climatology Statistical methods. Climatologie Méthodes statistiques. SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Climatology Statistical methods fast Datenanalyse gnd Klimatologie gnd Klimatologie. gtt Statistische methoden. gtt Electronic books. Leermiddelen (vorm) (NL-LeOCL)088143767 gtt Naslagwerken (vorm) (NL-LeOCL)088144143 gtt Zwiers, Francis W. Print version: Storch, H. v. (Hans von), 1949- Statistical analysis in climate research. Cambridge ; New York : Cambridge University Press, 1999 0521450713 (DLC) 98017416 (OCoLC)38856212 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=77515 Volltext |
| spellingShingle | Storch, H. v. (Hans von), 1949- Statistical analysis in climate research / 1. Introduction -- I. Fundamentals. 2. Probability Theory. 3. Distributions of Climate Variables. 4. Concepts in Statistical Inference. 5. Estimation -- II. Confirmation and Analysis. 6. The Statistical Test of a Hypothesis. 7. Analysis of Atmospheric Circulation Problems -- III. Fitting Statistical Models. 8. Regression. 9. Analysis of Variance -- IV. Time Series. 10. Time Series and Stochastic Processes. 11. Parameters of Univariate and Bivariate Time Series. 12. Estimating Covariance Functions and Spectra -- V. Eigen Techniques. 13. Empirical Orthogonal Functions. 14. Canonical Correlation Analysis. 15. POP Analysis. 16. Complex Eigentechniques -- VI. Other Topics. 17. Specific Statistical Concepts in Climate Research. 18. Forecast Quality Evaluation. B. Elements of Linear Analysis -- C. Fourier Analysis and Fourier Transform -- D. Normal Density and Cumulative Distribution Function -- E. The X[superscript 2] Distribution -- F. Student's t Distribution -- G. The F Distribution -- H. Table-Look-Up Test -- I. Critical Values for the Mann-Whitney Test -- J. Quantiles of the Squared-ranks Test Statistic -- K. Quantiles of the Spearman Rank Correlation Coefficient -- L. Correlations and Probability Statements -- M. Some Proofs of Theorems and Equations. Climatology Statistical methods. Climatologie Méthodes statistiques. SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Climatology Statistical methods fast Datenanalyse gnd Klimatologie gnd Klimatologie. gtt Statistische methoden. gtt |
| subject_GND | (NL-LeOCL)088143767 (NL-LeOCL)088144143 |
| title | Statistical analysis in climate research / |
| title_auth | Statistical analysis in climate research / |
| title_exact_search | Statistical analysis in climate research / |
| title_full | Statistical analysis in climate research / Hans von Storch and Francis W. Zwiers. |
| title_fullStr | Statistical analysis in climate research / Hans von Storch and Francis W. Zwiers. |
| title_full_unstemmed | Statistical analysis in climate research / Hans von Storch and Francis W. Zwiers. |
| title_short | Statistical analysis in climate research / |
| title_sort | statistical analysis in climate research |
| topic | Climatology Statistical methods. Climatologie Méthodes statistiques. SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Climatology Statistical methods fast Datenanalyse gnd Klimatologie gnd Klimatologie. gtt Statistische methoden. gtt |
| topic_facet | Climatology Statistical methods. Climatologie Méthodes statistiques. SCIENCE Earth Sciences Meteorology & Climatology. Climatology Statistical methods Datenanalyse Klimatologie Klimatologie. Statistische methoden. Electronic books. Leermiddelen (vorm) Naslagwerken (vorm) |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=77515 |
| work_keys_str_mv | AT storchhv statisticalanalysisinclimateresearch AT zwiersfrancisw statisticalanalysisinclimateresearch |