top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather / / edited by Claudia Becker, Roland Fried, Sonja Kuhnt
Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather / / edited by Claudia Becker, Roland Fried, Sonja Kuhnt
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (377 p.)
Disciplina 519.2
519.5
Soggetto topico Statistics 
Probabilities
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
Probability Theory and Stochastic Processes
ISBN 3-642-35494-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Univariate and Multivariate Robust Methods: Multivariate Median (Hannu Oja) -- Depth Statistics (Karl Mosler) -- Multivariate Extremes: A Conditional Quantile Approach (Marie-Françoise Barme-Delcroix) -- High-Breakdown Estimators of Multivariate Location and Scatter (Peter Rousseeuw and Mia Hubert) -- Upper and Lower Bounds for Breakdown Points (Christine H. Müller) -- The Concept of α-outliers in Structured Data Situations (Sonja Kuhnt and André Rehage) -- Multivariate OutlierIidentification Based on Robust Estimators of Location and Scatter (Claudia Becker, Steffen Liebscher and Thomas Kirschstein) -- Robustness for Compositional Data (Peter Filzmoser and Karel Hron) -- Part II Regression and Time Series Analysis:  Least Squares Estimation in High Dimensional Sparse Heteroscedastic Models (Holger Dette and Jens Wagener) -- Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression (Susanne Konrath, Ludwig Fahrmeir and Thomas Kneib) -- Robust Change Point Analysis (Marie Hušková) -- Robust Signal Extraction From Time Series in Real Time (Matthias Borowski, Roland Fried and Michael Imhoff) -- Robustness in Time Series: Robust Frequency Domain Analysis (Bernhard Spangl and Rudolf Dutter) -- Robustness in Statistical Forecasting (Yuriy Kharin) -- Finding Outliers in Linear and Nonlinear Time Series (Pedro Galeano and Daniel Peña) -- Part III Complex Data Structures: Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods (Andreas Christmann, Matías Salibián-Barrera and Stefan Van Aels) -- Some Machine Learning Approaches to the Analysis of Temporal Data (Katharina Morik) -- Correlation, Tail Dependence and Diversification (Dietmar Pfeifer) -- Evidence for Alternative Hypotheses (Stephan Morgenthaler and Robert G. Staudte) -- Concepts and a Case Study for a Flexible Class of Graphical Markov Models (NannyWermuth and David R. Cox) -- Data Mining in Pharmacoepidemiological Databases (Marc Suling, Robert Weber and Iris Pigeot) -- Meta-Analysis of Trials with Binary Outcomes (JürgenWellmann).
Record Nr. UNINA-9910437867303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical hypothesis testing with SAS and R / / Dirk Taeger, Sonja Kuhnt
Statistical hypothesis testing with SAS and R / / Dirk Taeger, Sonja Kuhnt
Autore Taeger Dirk
Pubbl/distr/stampa [Hoboken, New Jersey] : , : John Wiley & Sons, Incorporation, , 2014
Descrizione fisica 1 online resource (308 p.)
Disciplina 519.50285/5133
Soggetto topico Statistical hypothesis testing
SAS (Computer program language)
R (Computer program language)
ISBN 1-118-76258-4
1-118-76260-6
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Preface; Part I Introduction; Chapter 1 Statistical hypothesis testing; 1.1 Theory of statistical hypothesis testing; 1.2 Testing statistical hypothesis with SAS and R; 1.2.1 Programming philosophy of SAS and R; 1.2.2 Testing in SAS and R-An example; 1.2.3 Calculating p-values; 1.3 Presentation of the statistical tests; References; Part II Normal Distribution; Chapter 2 Tests on the mean; 2.1 One-sample tests; 2.1.1 z-test; 2.1.2 t-test; 2.2 Two-sample tests; 2.2.1 Two-sample z-test; 2.2.2 Two-sample pooled t-test; 2.2.3 Welch test; 2.2.4 Paired z-test
2.2.5 Paired t-testReferences; Chapter 3 Tests on the variance; 3.1 One-sample tests; 3.1.1 x2-test on the variance (mean known); 3.1.2 x2-test on the variance (mean unknown); 3.2 Two-sample tests; 3.2.1 Two-sample F-test on variances of two populations; 3.2.2 t-test on variances of two dependent populations; References; Part III Binomial Distribution; Chapter 4 Tests on proportions; 4.1 One-sample tests; 4.1.1 Binomial test; 4.2 Two-sample tests; 4.2.1 z-test for the difference of two proportions (unpooled variances); 4.2.2 z-test for the equality between two proportions (pooled variances)
4.3 K-sample tests4.3.1 K-sample binomial test; References; Part IV Other Distributions; Chapter 5 Poisson distribution; 5.1 Tests on the Poisson parameter; 5.1.1 z-test on the Poisson parameter; 5.1.2 Exact test on the Poisson parameter; 5.1.3 z-test on the difference between two Poisson parameters; References; Chapter 6 Exponential distribution; 6.1 Test on the parameter of an exponential distribution; 6.1.1 z-test on the parameter of an exponential distribution; Reference; Part V Correlation; Chapter 7 Tests on association; 7.1 One-sample tests
7.1.1 Pearson's product moment correlation coefficient7.1.2 Spearman's rank correlation coefficient; 7.1.3 Partial correlation; 7.2 Two-sample tests; 7.2.1 z-test for two correlation coefficients (independent populations); References; Part VI Nonparametric Tests; Chapter 8 Tests on location; 8.1 One-sample tests; 8.1.1 Sign test; 8.1.2 Wilcoxon signed-rank test; 8.2 Two-sample tests; 8.2.1 Wilcoxon rank-sum test (Mann-Whitney U test); 8.2.2 Wilcoxon matched-pairs signed-rank test; 8.3 K-sample tests; 8.3.1 Kruskal-Wallis test; References; Chapter 9 Tests on scale difference
9.1 Two-sample tests9.1.1 Siegel-Tukey test; 9.1.2 Ansari-Bradley test; 9.1.3 Mood test; References; Chapter 10 Other tests; 10.1 Two-sample tests; 10.1.1 Kolmogorov-Smirnov two-sample test (Smirnov test); References; Part VII Goodness-of-Fit Tests; Chapter 11 Tests on normality; 11.1 Tests based on the EDF; 11.1.1 Kolmogorov-Smirnov test (Lilliefors test for normality); 11.1.2 Anderson-Darling test; 11.1.3 Cramér-von Mises test; 11.2 Tests not based on the EDF; 11.2.1 Shapiro-Wilk test; 11.2.2 Jarque-Bera test; References; Chapter 12 Tests on other distributions; 12.1 Tests based on the EDF
12.1.1 Kolmogorov-Smirnov test
Record Nr. UNINA-9910138965003321
Taeger Dirk  
[Hoboken, New Jersey] : , : John Wiley & Sons, Incorporation, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui