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Advances Shrinkage and Penalized Estimation Strategies: Honoring the Contributions of Professor A. K. Md. Ehsanes Sal: SalehAdvances Shrinkage and Penalized Estimation Strategies: Honoring the Contributions of Professor A. K. Md. Ehsanes Sal: Saleh

Advances Shrinkage and Penalized Estimation Strategies: Honoring the Contributions of Professor A. K. Md. Ehsanes Sal: Saleh in Ottawa, ON

Current price: $364.95
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Advances Shrinkage and Penalized Estimation Strategies: Honoring the Contributions of Professor A. K. Md. Ehsanes Sal: Saleh

Advances Shrinkage and Penalized Estimation Strategies: Honoring the Contributions of Professor A. K. Md. Ehsanes Sal: Saleh in Ottawa, ON

Current price: $364.95
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Size: Hardcover

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This book is a tribute to Professor A. K. Md. Ehsanes Saleh, a distinguished figure in the field of statistics known for his pioneering work, including the development of the "Preliminary Test Approach to Shrinkage Estimation". Although Professor Saleh passed away in September 2023, his legacy will live on through this special volume that explores penalized approaches for statistical analysis and recent developments in shrinkage methods. Covering regression modeling, robust estimation, machine learning, and high-dimensional data analytics, this volume bridges theoretical advancements with practical applications of these methodologies. In addition to introducing novel research and viewpoints, the book seeks to encourage dialogue among experienced practitioners in the field. This resource is specifically designed for researchers, statisticians, or data science professionals seeking ways to improve their comprehension and application of these methods.
This book is a tribute to Professor A. K. Md. Ehsanes Saleh, a distinguished figure in the field of statistics known for his pioneering work, including the development of the "Preliminary Test Approach to Shrinkage Estimation". Although Professor Saleh passed away in September 2023, his legacy will live on through this special volume that explores penalized approaches for statistical analysis and recent developments in shrinkage methods. Covering regression modeling, robust estimation, machine learning, and high-dimensional data analytics, this volume bridges theoretical advancements with practical applications of these methodologies. In addition to introducing novel research and viewpoints, the book seeks to encourage dialogue among experienced practitioners in the field. This resource is specifically designed for researchers, statisticians, or data science professionals seeking ways to improve their comprehension and application of these methods.

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