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  • 1
    UID:
    b3kat_BV042176231
    Format: 1 Online-Ressource
    ISBN: 9781493915064 , 9781493915071
    Series Statement: Springer series in astrostatistics
    Language: English
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  • 2
    UID:
    b3kat_BV045164895
    Format: 1 Online-Ressource (VI, 180 Seiten, 20 illus., 11 illus. in color)
    ISBN: 9789811312236
    Series Statement: Springer proceedings in mathematics & statistics volume 244
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-131-222-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-131-224-3
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    b3kat_BV045238931
    Format: 1 Online-Ressource (XI, 152 Seiten, 3 illus)
    ISBN: 9789811321467
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-132-145-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-132-147-4
    Language: English
    Subjects: Mathematics , Sociology
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    New York, NY : Springer New York
    UID:
    gbv_1659488761
    Format: Online-Ressource (XIII, 349 p. 64 illus., 46 illus. in color, online resource)
    ISBN: 9781493915071
    Series Statement: Springer Series in Astrostatistics 3
    Content: Introduction to Astrophysics -- Introduction to Statistics -- Sources of Astronomical Data -- Statistical Inference -- Advanced Regression and its Application with Measurement Error -- Missing Observations and Imputation -- Dimension Reduction and Clustering -- Clustering, Classification and Data Mining -- Time Series Analysis -- Monte Carlo Simulation -- Uses of Softwares -- Appendix.
    Content: This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors
    Note: Includes bibliographical references and index , Introduction to AstrophysicsIntroduction to Statistics -- Sources of Astronomical Data -- Statistical Inference -- Advanced Regression and its Application with Measurement Error -- Missing Observations and Imputation -- Dimension Reduction and Clustering -- Clustering, Classification and Data Mining -- Time Series Analysis -- Monte Carlo Simulation -- Uses of Softwares -- Appendix.  .
    Additional Edition: ISBN 9781493915064
    Additional Edition: Druckausg. Chattopadhyay, Asis Kumar Statistical methods for astronomical data analysis New York, NY : Springer, 2014 ISBN 9781493915064
    Language: English
    Subjects: Physics
    RVK:
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 5
    UID:
    b3kat_BV046031900
    Format: xi, 152 Seiten , Diagramme
    ISBN: 9789811321450 , 9811321450
    Content: "This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method -- as distinct from a 'science' related to any one type of phenomena -- is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers."--Page 4 of cover
    Note: 1. Introduction -- 2. Randomized response techniques -- 3. Content analysis -- 4. Scaling techniques -- 5. Data integration techniques -- 6. Statistical assessment of agreement -- 7. Meta-analysis -- 8. Cluster and discriminant analysis -- 9. Principal component analysis -- 10. Factor analysis -- 11. Multidimensional scaling -- 12. Social and occupational mobility -- 13. Social network analysis
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-981-132-146-7 10.1007/978-981-132-146-7
    Language: English
    Subjects: Mathematics , Sociology
    RVK:
    RVK:
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  • 6
    UID:
    gbv_1030109338
    Format: Online-Ressource (VI, 180 p. 20 illus., 11 illus. in color, online resource)
    Edition: Springer eBook Collection. Mathematics and Statistics
    ISBN: 9789811312236
    Series Statement: Springer Proceedings in Mathematics & Statistics 244
    Content: This book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics. Written by leading academics, scientists, researchers and scholars from around the globe to mark the platinum jubilee of the Department of Statistics, University of Calcutta in 2016, the book is a valuable resource for statisticians, aspiring researchers and professionals across educational levels and disciplines
    Content: Chapter 1. Abisa Sinha, Fragmentation of Young Massive Clusters: A Hybrid Monte-Carlo Simulation Study -- Chapter 2. Anamika Dutta and Kishore K. Das, A Study on DNA Sequence of Rice using Scoring Matrix Method and ANOVA Technique -- Chapter 3. Sungsu Kim and Ashis SenGupta, Regressions Involving Circular Variables: An Overview -- Chapter 4. Ramesh M. Mirajkar and Bhausaheb G. Kore, On Construction of Prediction Interval for Weibull Distribution -- Chapter 5. Thorsten Dickhaus, Combining high-Dimensional Classification and Multiple Hypotheses Testing for the Analysis of Big Data in Genetics -- Chapter 6. Tapan Kumar Chakrabarty and Dreamlee Sharma, The Quantile-based Skew Logistic Distribution with Applications -- Chapter 7. Jiming Jiang, A Note on Monte-Carlo Jackknife: McJack and Big Data -- Chapter 8. Jogesh Babu, Introduction to the Detection and Statistical Challenges of Exoplanets -- Chapter 9. Thuan Nguyen and Jiming Jiang, A Connection between the Observed Best Prediction and the Fence Model Selection Method -- Chapter 10. Siegfried Gabler, Matthias Ganninger and Partha Lahiri, A New Approximation to the True Randomization-Based Design Effect -- Chapter 11. Madhura Mandal and Premadhis Das, Confounded Factorial Design with Partial Balance and Orthogonal Sub- Factorial Structure -- Chapter 12. Christian P. Robert, Beyond the Bayes Factor, a New Bayesian Paradigm for Handling Hypothesis Testing -- Chapter 13. Tommy Wright, No Calculation when Observation Can be Made -- Chapter 14. Sumanta Adhya, Debanjan Bhattacharjee and Tathagata Banerjee, Design Weighted Quadratic Inference Function Estimators for Superpopulation Parameters -- Chapter 15. Jyotirmoy Sarkar and Bikas K. Sinha, Detecting a Fake Coin of a Known Type
    Additional Edition: ISBN 9789811312229
    Additional Edition: ISBN 9789811312243
    Additional Edition: Printed edition ISBN 9789811312229
    Additional Edition: Printed edition ISBN 9789811312243
    Language: English
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  • 7
    Book
    Book
    New York ; Heidelberg ; Dordrecht ; London :Springer,
    UID:
    almahu_BV043633001
    Format: xiii, 349 Seiten : , Illustrationen, Diagramme (teilweise farbig).
    ISBN: 978-1-4939-1506-4
    Series Statement: Springer series in astrostatistics
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-1-4939-1507-1
    Language: German
    Subjects: Physics , Mathematics
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    RVK:
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  • 8
    UID:
    gbv_1038686725
    Format: Online-Ressource (XI, 152 p. 3 illus, online resource)
    Edition: Springer eBook Collection. Mathematics and Statistics
    ISBN: 9789811321467
    Series Statement: SpringerLink
    Content: This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method - as distinct from a ‘science’ related to any one type of phenomena - is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers
    Content: 1. Introduction -- 2. Randomized Response Technique -- 3. Content Analysis -- 4.Scaling Techniques -- 5.Data Integration -- 6. Dis-agreement vs. Agreement -- 7. Meta Analysis -- 8. Cluster and Discriminant Analysis -- 9. Principal Component Analysis -- 10. Factor Analysis -- Multidimensional Scaling -- 11. Social and Occupational Mobility -- 12. Social Network Analysis
    Additional Edition: ISBN 9789811321450
    Additional Edition: ISBN 9789811321474
    Additional Edition: Printed edition ISBN 9789811321450
    Additional Edition: Printed edition ISBN 9789811321474
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 9
    UID:
    almahu_BV046172177
    Format: vi, 180 Seiten : , Diagramme (überwiegend farbig).
    ISBN: 978-981-13-1222-9
    Series Statement: Springer proceedings in mathematics & statistics volume 244
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-981-13-1223-6
    Language: English
    Subjects: Mathematics
    RVK:
    Keywords: Konferenzschrift
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