portada Applied Regression Analysis for Business: Tools, Traps and Applications (en Inglés)

Applied Regression Analysis for Business: Tools, Traps and Applications (en Inglés)

Formato

Libro Físico

Autor

Jacek Welc

Pedro J. Rodriguez Esquerdo

Editorial

Springer

Idioma

Inglés

N° páginas

286

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.6 cm

Peso

0.42 kg.

ISBN13

9783319890418

N° edición

Categorías

Econometría
Matemáticas y sistemas empresariales

Applied Regression Analysis for Business: Tools, Traps and Applications (en Inglés)

Jacek Welc (Autor) · Pedro J. Rodriguez Esquerdo (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 123.24$ 61.62

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 61.62

Llega entre el 15 Sep y el 28 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Applied Regression Analysis for Business: Tools, Traps and Applications (en Inglés)"

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.