Statistical Sciences and Data Analysis
eBook - PDF

Statistical Sciences and Data Analysis

Proceedings of the Third Pacific Area Statistical Conference

  1. 578 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Sciences and Data Analysis

Proceedings of the Third Pacific Area Statistical Conference

About this book

No detailed description available for "Statistical Sciences and Data Analysis".

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Yes, you can access Statistical Sciences and Data Analysis by Kameo Matusita,Madan L. Puri,Takesi Hayakawa in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2020
Print ISBN
9783112307595
eBook ISBN
9783112318867

Table of contents

  1. Contents
  2. Preface
  3. Kullback-Leibler Information for Ordering Genes Using Sperm Typing and Radiation Hybrid Mapping
  4. Statistical Models For Forecasting Tornado Intensity
  5. Incorporating Geographic Distribution into the Expected Number of Deaths in a Comparative Study
  6. Fitting Random Coefficient Regression Models
  7. Design and Analysis in Repeated Measurement Experiment : on Use of Preliminary Knowledge about Covariance Structure of Observations
  8. Least Squares Estimators of Regression Coefficients by using Misspecified Covariance Structure for Error Process
  9. Estimation of Regression Parameters When the Errors are Auto correlated
  10. Centering and Scaling in Ridge Regression
  11. Reparametrization Methods in Linear Minimax Estimation
  12. Robust Tests for Linear Models
  13. CIRCULAR REGRESSION
  14. Properties of Least Squares Methods for Choosing the Parameter of the Simple Exponential Smoothing Predictor
  15. Characterization of MTV model and its diagnostic checking
  16. Limit theorems for statistical inference on stationary processes with strong dependence
  17. Two Sample Problem in Time Series Analysis
  18. Malliavin Calculus and Higher Order Statistical Inference
  19. Estimation of Levels of Intensity in a Simple Self-Correcting Point Process
  20. Additional Information and Precision of Estimators in Multivariate Structural Models
  21. Sensitivity Analysis in Covariance Structure Analysis: A Numerical Investigation in the Case of Confirmatory Factor Analysis
  22. Likelihood Ratio Tests for Means and Covariances with Incomplete Multinormal Observations
  23. Maximally orthogonally invariant higher order moments and their application to testing elliptically-contouredness
  24. Asymptotic Theory for the Concentrated Matrix Langevin Distributions on the Grassmann Manifold
  25. On Canonical Correlations and the Degrees of Non-Orthogonality in the Three-way Layout
  26. Partial Canonical Correlations Associated with the Inverse and Some Generalized Inverses of a Partitioned Dispersion Matrix
  27. Approximation to the Upper Percentiles of T<sup>2</sup><sub>max</sub> – type Statistics
  28. Curvature Measures in Data Analysis
  29. Statistical Inference from Observations with Censoring and Grouping for Exponential Families
  30. Pitman Closeness of the Equivariant Shrinkage Estimators of the Normal Variance
  31. Normal Approximation to the Distribution of the Sample Mean in the Exponential Family
  32. A New Approach to Asymptotic Distributions of Maximum Likelihood Ratio Statistics
  33. Test of homogeneity of parameters
  34. Determining the No-Observed-Adverse-Effect Level in Continuous Response
  35. Asymptotics on the Statistics for a Family of Non-Regular Distributions
  36. Error Bounds for Asymptotic Expansions of Some Distributions in a SUR Model
  37. Second Order Asymptotic Bound for the Variance of Estimators for the Double Exponential Distribution
  38. Asymptotic Expansions for E<sub>0</sub> {min ( t , m )} and E<sub>0</sub>{x<sub>min</sub>(t,m)}
  39. Aspects of Goodness-of-Fit
  40. On the Central Limit Theorem in Hilbert Space with Application to U-Statistics
  41. Asymptotics of the Perturbed Sample Quantile for a Sequence of m—dependent Stationary Random Process
  42. The L<sub>1</sub> Complete Convergence of Recursive Kernel Density Estimators Under Weak Dependence
  43. MULTIVARIATE L<sub>1</sub>-NORM ESTIMATION AND THE VULNERABLE BOOTSTRAP
  44. Convergent Rates of M-Estimators for a Partly Linear Model
  45. Discrete Distributions Related to Succession Events in a Two-State Markov Chain
  46. How Large the Class of Waiting Distribution Can Be?
  47. The use of the inverse Gaussian model for analysing the lognormal data
  48. AN ANALISYS OF DEGRADATION DATA OF A CARBON FILM AND THE PROPERTIES OF THE ESTIMATORS
  49. Bayesian Analysis for Exponential Zero-failure Data
  50. The Estimation of Distribution under a Particular Random Censoring
  51. New Main Effect Plus One Plans For 27 Factorial Experiments And Their Robustness Property Against Deletion Of Runs
  52. PROFILES OF 2<sup>m</sup> FACTORIAL DESIGNS
  53. Characterization and Optimality of Block Designs with Estimation of Parameters Under Mixed Models