Buy used Science and Mathematics Textbooks books online in India
Buy Second Hand Books, Used Books Online In India
NCERT MATHS FOR CLASS 10
Secondary School Mathematics For Class - 10 is based on the syllabus prescribed by the CBSE and features solved examples for each topic. These solved examples are then followed by exercises, different types of questions, and test papers to buttress the preparation required from young mathematicians to achieve success in their exams.Each topic is developed systematically, contributing to conceptual clarity in that area. In addition, the book provides material for continuous and comprehensive evaluation such as objective questions and test papers at the end of each chapter. This forms the subject for formative assessment, helping the student and teacher understand the areas of improvement required.
Mathematics For Class 6 By RS Agrawal
Lakhmir Singh’s Science is a series of books which conforms to the NCERT syllabus. The main aim of writing this series is to help students understand difficult scientific concepts in a simple manner in easy language. The ebook version does not contain CD.
QUANTITATIVE APTITUDE BOOK for entrance exams
This is the third edition of Maths 30 Days Wonder. Quantitative Aptitude has been an important part of every entrance examination. Therefore, we felt that it was necessary to explain, otherwise thought as difficult, topics in a simple and lucid manner.
Discrete and Combinatorial Mathematics: An Applied Introduction
Pearson's best selling title on software engineering has be thoroughly revised to highlight various technological updates of recent years, providing students with highly relevant and current information. Somerville's experience in system dependability and systems engineering guides the text through a traditional plan-based approach that incorporates some novel agile methods. The text strives to teach the innovators of tomorrow how to create software that will make our world a better, safer, and more advanced place to live.
Introduction to Bayesian Statistics
"...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Bayesian inference, and the material is easily accessible. It is both concise and timely, and provides a good collection of overviews and reviews of important tools used in Bayesian statistical methods." There is a strong upsurge in the use of Bayesian methods in applied statistical analysis, yet most introductory statistics texts only present frequentist methods. Bayesian statistics has many important advantages that students should learn about if they are going into fields where statistics will be used. In this third Edition, four newly-added chapters address topics that reflect the rapid advances in the field of Bayesian statistics. The authors continue to provide a Bayesian treatment of introductory statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for discrete random variables, binomial proportions, Poisson, and normal means, and simple linear regression. In addition, more advanced topics in the field are presented in four new chapters: Bayesian inference for a normal with unknown mean and variance; Bayesian inference for a Multivariate Normal mean vector; Bayesian inference for the Multiple Linear Regression Model; and Computational Bayesian Statistics including Markov Chain Monte Carlo. The inclusion of these topics will facilitate readers' ability to advance from a minimal understanding of Statistics to the ability to tackle topics in more applied, advanced level books. Minitab macros and R functions are available on the book's related website to assist with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: Topics including the Joint Likelihood function and inference using independent Jeffreys priors and join conjugate prior The cutting-edge topic of computational Bayesian Statistics in a new chapter, with a unique focus on M
