Statistics and its Applications Platinum Jubilee Conference, Kolkata, India, December 2016 /

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...

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Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Singapore , 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Springer Proceedings in Mathematics & Statistics, 244
Schlagworte:
Statistics .
Applied mathematics.
Engineering mathematics.
ISBN:9789811312236
ISSN:2194-1009 ;
Online-Zugang: Volltext
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Inhaltsangabe:
  • 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.

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