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Curvature Measures in Data Analysis

  • Robert E. Kass and Elizabeth H. Slate
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Statistical Sciences and Data Analysis
This chapter is in the book Statistical Sciences and Data Analysis
© 2020 Walter de Gruyter GmbH, Berlin/Munich/Boston

© 2020 Walter de Gruyter GmbH, Berlin/Munich/Boston

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Preface IX
  4. Kullback-Leibler Information for Ordering Genes Using Sperm Typing and Radiation Hybrid Mapping 1
  5. Statistical Models For Forecasting Tornado Intensity 13
  6. Incorporating Geographic Distribution into the Expected Number of Deaths in a Comparative Study 25
  7. Fitting Random Coefficient Regression Models 33
  8. Design and Analysis in Repeated Measurement Experiment : on Use of Preliminary Knowledge about Covariance Structure of Observations 41
  9. Least Squares Estimators of Regression Coefficients by using Misspecified Covariance Structure for Error Process 49
  10. Estimation of Regression Parameters When the Errors are Auto correlated 61
  11. Centering and Scaling in Ridge Regression 77
  12. Reparametrization Methods in Linear Minimax Estimation 87
  13. Robust Tests for Linear Models 97
  14. CIRCULAR REGRESSION 109
  15. Properties of Least Squares Methods for Choosing the Parameter of the Simple Exponential Smoothing Predictor 129
  16. Characterization of MTV model and its diagnostic checking 143
  17. Limit theorems for statistical inference on stationary processes with strong dependence 151
  18. Two Sample Problem in Time Series Analysis 165
  19. Malliavin Calculus and Higher Order Statistical Inference 175
  20. Estimation of Levels of Intensity in a Simple Self-Correcting Point Process 181
  21. Additional Information and Precision of Estimators in Multivariate Structural Models 187
  22. Sensitivity Analysis in Covariance Structure Analysis: A Numerical Investigation in the Case of Confirmatory Factor Analysis 197
  23. Likelihood Ratio Tests for Means and Covariances with Incomplete Multinormal Observations 211
  24. Maximally orthogonally invariant higher order moments and their application to testing elliptically-contouredness 225
  25. Asymptotic Theory for the Concentrated Matrix Langevin Distributions on the Grassmann Manifold 237
  26. On Canonical Correlations and the Degrees of Non-Orthogonality in the Three-way Layout 247
  27. Partial Canonical Correlations Associated with the Inverse and Some Generalized Inverses of a Partitioned Dispersion Matrix 253
  28. Approximation to the Upper Percentiles of T2max – type Statistics 265
  29. Curvature Measures in Data Analysis 277
  30. Statistical Inference from Observations with Censoring and Grouping for Exponential Families 291
  31. Pitman Closeness of the Equivariant Shrinkage Estimators of the Normal Variance 301
  32. Normal Approximation to the Distribution of the Sample Mean in the Exponential Family 313
  33. A New Approach to Asymptotic Distributions of Maximum Likelihood Ratio Statistics 325
  34. Test of homogeneity of parameters 337
  35. Determining the No-Observed-Adverse-Effect Level in Continuous Response 345
  36. Asymptotics on the Statistics for a Family of Non-Regular Distributions 357
  37. Error Bounds for Asymptotic Expansions of Some Distributions in a SUR Model 365
  38. Second Order Asymptotic Bound for the Variance of Estimators for the Double Exponential Distribution 375
  39. Asymptotic Expansions for E0 {min ( t , m )} and E0{xmin(t,m)} 383
  40. Aspects of Goodness-of-Fit 395
  41. On the Central Limit Theorem in Hilbert Space with Application to U-Statistics 407
  42. Asymptotics of the Perturbed Sample Quantile for a Sequence of m—dependent Stationary Random Process 415
  43. The L1 Complete Convergence of Recursive Kernel Density Estimators Under Weak Dependence 427
  44. MULTIVARIATE L1-NORM ESTIMATION AND THE VULNERABLE BOOTSTRAP 441
  45. Convergent Rates of M-Estimators for a Partly Linear Model 451
  46. Discrete Distributions Related to Succession Events in a Two-State Markov Chain 467
  47. How Large the Class of Waiting Distribution Can Be? 475
  48. The use of the inverse Gaussian model for analysing the lognormal data 489
  49. AN ANALISYS OF DEGRADATION DATA OF A CARBON FILM AND THE PROPERTIES OF THE ESTIMATORS 501
  50. Bayesian Analysis for Exponential Zero-failure Data 513
  51. The Estimation of Distribution under a Particular Random Censoring 521
  52. New Main Effect Plus One Plans For 27 Factorial Experiments And Their Robustness Property Against Deletion Of Runs 529
  53. PROFILES OF 2m FACTORIAL DESIGNS 543
  54. Characterization and Optimality of Block Designs with Estimation of Parameters Under Mixed Models 559
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