Anindya Roy – författare

Visar alla böcker från författaren Anindya Roy. Handla med fri frakt och snabb leverans.

5 produkter

1. 

   Linear Algebra and Matrix Analysis for Statistics

   Av Sudipto Banerjee, Anindya Roy

   Inbunden, 2014

   1517 kr

   Lägg i varukorg

   Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book is as self-contained as possible, assuming no prior knowledge …

2. 

   Linear Algebra and Matrix Analysis for Statistics

   Av Anindya Roy, Sudipto Banerjee

   E-bok, 2014

   1541 kr

   Lägg i varukorg

   Assuming no prior knowledge of linear algebra, this self-contained text offers a gradual exposition to linear algebra without sacrificing the rigor of the subject. It presents both the vector space approach and the canonical forms in matrix theory. The book covers important topics in linear algebra …

3. 

   Frontiers of Statistics and Data Science

   Av Subhashis Ghosal, Anindya Roy

   Inbunden, 2025

   1748 kr

   Lägg i varukorg

   This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily …

4. 

   Frontiers of Statistics and Data Science

   Av Anindya Roy, Subhashis Ghosal

   E-bok, 2025

   2224 kr

   Lägg i varukorg

   This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily …

5. 

   Frontiers of Statistics and Data Science

   Av Subhashis Ghosal, Anindya Roy

   Häftad, 2026

   1748 kr

   Lägg i varukorg

   This book addresses a diverse set of topics of contemporary interest in statistics and data science such as biostatistics and machine learning. Each chapter provides an overview of the topic under discussion, so that any reader with an understanding of graduate-level statistics, but not necessarily …