Rosen, Dietrich von
Trends and Perspectives in Linear Statistical Inference
1. Comparison of Estimation Methods for Inverse Weibull Distribution
Fatma Gül Akgül, Birdal Şenoğlu
2. Liu-Type Negative Binomial Regression: A Comparison of Recent Estimators and Applications
Yasin Asar
3. Appraisal of Performance of Three Tree-Based Classification Methods
Huruy Debessay Asfha, Betul Kan Kilinc
4. High-Dimensional CLTs for Individual Mahalanobis Distances
D. Dai, T. Holgersson
5. Bootstrap Type-1 Fuzzy Functions Approach for Time Series Forecasting
Ali Zafer Dalar, Erol Eğrioğlu
6. A Weighted Ensemble Learning by SVM for Longitudinal Data: Turkish Bank Bankruptcy
Birsen Eygi Erdogan, Süreyya Özöğür Akyüz
7. The Complementary Exponential Phase Type Distribution
Serkan Eryilmaz
8. Some Properties of Linear Prediction Sufficiency in the Linear Model
Jarkko Isotalo, Augustyn Markiewicz, Simo Puntanen
9. A Note on Circular
Cihangir Kan
10. A Categorical Principal Component Regression on Computer-Assisted Instruction in Probability Domain
Tuğba Kapucu, Ozlem Ilk, İnci Batmaz
11. Contemporary Robust Optimal Design Strategies
Timothy E. O’Brien
12. Alternative Approaches for the Use of Uncertain Prior Information to Overcome the Rank-Deficiency of a Linear Model
Burkhard Schaffrin, Kyle Snow, Xing Fang
13. Exact Likelihood-Based Point and Interval Estimation for Lifetime Characteristics of Laplace Distribution Based on hybrid Type-I and Type-II Censored Data
Feng Su, N. Balakrishnan, Xiaojun Zhu
14. Statistical Inference for Two-Compartment Model Parameters with Bootstrap Method and Genetic Algorithm
Özlem Türkşen, Müjgan Tez
Nyckelord: Statistics, Statistical Theory and Methods, Statistics for Business/Economics/Mathematical Finance/Insurance, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs
- Utgivare
- Rosen, Dietrich von
- Tez, Müjgan
- Utgivare
- Springer
- Utgivningsår
- 2018
- Språk
- en
- Utgåva
- 1
- Serie
- Contributions to Statistics
- Sidantal
- 10 sidor
- Kategori
- Naturvetenskaper
- Format
- E-bok
- eISBN (PDF)
- 9783319732411
- Tryckt ISBN
- 978-3-319-73240-4