Categories Categories

Free Shipping Free Shipping

Data Science for Prediction with Simple Linear Innovative Model (Slim) and Goodness of Fit for Testing Validity (Gud-Fit)

MRP: Rs.475.00
Price in points: 475 points
In stock
(ships in 1-2 days)

Minimum quantity for "Data Science for Prediction with Simple Linear Innovative Model (Slim) and Goodness of Fit for Testing Validity (Gud-Fit)" is 1.

About the Book

It'ssimplicity and robustness draws even school students and all others of the same level of Education.

  1. It's Philosophy dates back to Maharshi Kapil's seing is believing
  2. It's reality is grim reality from day to day happenings and as recond and recorded by one self.
  3. It's reliability gets measured in terms of probability
  4. Further it lets one believe in him / her self as what one observes is reality.
  5. At the same time recons that the data is fit/ not fit for such predictions.
  6. It's results are obtainable online feedback as realizable from data.
  7. There are many more real-time features that can be had through numerous examples of the book.
  8. Such features ,generally remain unexplored in theoretical texts
  9. YES, You have them all , without LEAST SQUARE and even without R2.

About the Authors

Professor N. C. Das has been former Professor-cum-Chief Scientist at the Department of Statistics and Computer Science, Birsa Agricultural University, Ranchi, India. He has over six decades of teaching- and research-experience in the field of Statistical Inference, Design of Experiments, Operations Research and Computer Science. Data-based modelling for prediction has been integral part of above disciplines. These are now essential components of Data Science. It is natural therefore that he is drawn to simple model fitting to data for making prediction and its goodness of fit. To the same an acronym has been given SLIM & GUD-FIT for brevity.

He intensively devoted his time in advising and guiding a wide-spectrum of students, doctoral- and post doctoral scholars and research specialists from various institutions, corporate organizations, core-sector industrial outfits and various consulting bodies on statistical aspects of research problems. He, as a Research Fellow of the International Development Agency at I.I.T. Kharagpur, had developed software BIVNOR which was required to be applied successfully for solving long aspired and much awaited problem of Bivariate Joint Chance-Constrained Programming. Later it was found to be of much wider use which culminated in publication of his monograph entitled Decision Processes by Using Bivariate Normal Quantile Pairs by Springer (2015). The said text also offers high probability joint confidence intervals to the much aspired measure (MAM) of Higgs Boson's particle, popularly called God particle, in case BEC (the magnitude of Bose-Einstein Correlation) is made available. According to World Cat the book by now has reached more than 283, amongst its more than 580 member libraries around the Globe, which according to them is considered fairly large acquisitions for such class of book-titles. He remained Academic Secretary-cum-Editor of the Bihar Journal of Mathematics during 1994-1998 and is currently, as well as, the Founder President , Jharkhand Society of Mathematical Sciences: Ranchi. His recent publications(2018,2019, & 2020) are three successive reprints for Data Science for Professionals: Experimental Designs and Statistics with Least Resources which has received FOREWORD from Professor A.C. Atkinson of London School of Economics.. In context of present economic scenario, smaller and least cost experiments have become talk of the time.

Sri Mohit Ranjan Das is currently working as Program experience Manager at Udacity , a USA based online technical education provider. He is a Computer Engineering Graduate from Manipal Institute of Technology, India .Mohit is also the grandson of the first author, Professor N.C.Das. He has also co-authored one article titled  Spirituality at Work : A report from Ground Zero in a scopus indexed journal Purushart. His contribution to the book is Python 3 coding of the programmes used for solution of some numerical examples of the book.


Author 1:
Prof. N. C. Das
Author 2:
Mohit R Das
Condition Type:
Country Origin:
Gift Wrap:
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Publication Date:
Shroff Publishers & Distributors Pvt. Ltd.


Dimensions (W x H x D):
7 x 9 x 0.5 inch

Table of Contents (9789355420381_toc.pdf, 160 Kb) [Download]