Share
Statistics Is Easy: Case Studies on Real Scientific Datasets (in English)
Dennis Shasha
(Author)
·
Manpreet Singh Katari
(Author)
·
Sudarshini Tyagi
(Author)
·
Springer
· Paperback
Statistics Is Easy: Case Studies on Real Scientific Datasets (in English) - Katari, Manpreet Singh ; Tyagi, Sudarshini ; Shasha, Dennis
$ 21.78
$ 22.99
You save: $ 1.21
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Wednesday, June 12 and
Thursday, June 13.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Statistics Is Easy: Case Studies on Real Scientific Datasets (in English)"
Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement. Drawing conclusions in the face of such noise entails a statistical analysis. Parametric statistical methods assume that the data is a sample from a population that can be characterized by a specific distribution (e.g., a normal distribution). When the assumption is true, parametric approaches can lead to high confidence predictions. However, in many cases particular distribution assumptions do not hold. In that case, assuming a distribution may yield false conclusions. The companion book Statistics is Easy, gave a (nearly) equation-free introduction to nonparametric (i.e., no distribution assumption) statistical methods. The present book applies data preparation, machine learning, and nonparametric statistics to three quite different life science datasets. We provide the code as applied to each dataset in both R and Python 3. We also include exercises for self-study or classroom use.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
