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portada Business Statistics: using R (en Inglés)
Formato
Libro Físico
Idioma
Inglés
N° páginas
284
Encuadernación
Tapa Blanda
Dimensiones
25.4 x 17.8 x 1.9 cm
Peso
0.68 kg.
ISBN13
9781699472101

Business Statistics: using R (en Inglés)

Gopal Chaudhuri (Autor) · Independently Published · Tapa Blanda

Business Statistics: using R (en Inglés) - Chaudhuri, Gopal

Libro Nuevo

S/ 428,85

S/ 714,75

Ahorras: S/ 285,90

40% descuento
  • Estado: Nuevo
Origen: Estados Unidos (Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el Lunes 15 de Julio y el Miércoles 24 de Julio.
Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Business Statistics: using R (en Inglés)"

The book Business Statistics using R is grown out of my teaching experience over a decade at reputed institutes including Indian Institute Managements at Ahmedabd and Kozhikode and School of Management, Asian Institute of Technology at Bangkok. The quantitative techniques discussed in Business Statistics using R help the reader easily master the underlying concepts of fundamental Statistical Methods. The data analysis is performed with the open source R language that can be installed in the readers' computer without effort. The book, giving explicit details, is also suitable for self-study. In my book I have used R extensively and R is available free online. A systematic development of statistical procedures is done in the book with real-life cases in the form of examples---this will help the reader grasp the essentials of statistical tools in order to be successful in the future courses of MBA and advanced data analytic career in particular. This is an era of Data Science. In this field, a sound knowledge of basic statistical concepts coupled with appropriate statistical software like R is a must.A number of books on Business Statistics exist in the market; but they mostly fail to address the statistical depth a reader needs in order to apply the technique in a variety of different practical situations. The problem is aggravated while actually doing the data analysis with statistical software like Excel; we know how tedious it is to draw a histogram using Excel. One can do statistical analysis with SPSS which is very expensive at least in the Indian context. The R provides excellent graphics as we all know. The R programming has been woven into the fabric of my Business Statistics book. Step-by-step detailed solutions of the real-life international cases embodied in the form of Examples are given in the text while explaining statistical techniques. Keeping in mind the background of the reader, who are basically beginners in the field of Decision Sciences, every attempt is made to include materials based on which the reader would be ready for an advanced career in the related field. The most important feature of Business Statistics using R is that it has a lot of worked out real life data analysis examples integrated with R language. Even though the Excel software is not believed to be superior to other standard statistical packages like SPSS and MINITAB, I have take every care to use it extensively throughout the text to perform data analysis. The SPSS (which is very popular among practitioners) output analysis is also carried out simultaneously. There is practically no book dealing Business Statistics with the R software, at least in Indian context. Each topic is discussed with a case study in the form of example containing R output explained in detail. In the current age of data-driven decisions making by Managers, it is important to master the fundamental statistical tools with appropriate depth and easy-to-use data analysis statistical software like R.

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