This book has been prepared by a group of faculties who are highly experienced in training GATE candidates and are also subject matter experts. As a result this book would serve as a one-stop solution for any GATE aspirant to crack the examination. The bo

Lakhs of students write the GATE exam annually. The level of competition is fierce, owing to the increasing competition for a limited number of seats. With the right books for preparation, achieving the goal of getting a good rank in GATE becomes a reality. While preparing for GATE, students should make a habit to practice and revise the concepts with both concept clarity and lots of questions for practice. This is where GKP's Prep Series: GATE 2022: General Aptitude & Engineering Mathematics, which is prepared by renowned faculties who are subject matter experts, is your best bet to be GATE READY! The entire book has been revised and updated as per the latest exam syllabus. It is divided into units, chapters and further segmented into topics. The questions given with the unit have detailed answers, supported by in-depth explanations and diagrams. The book includes well-explained sections on General Aptitude and Engineering Mathematics. It also includes more than 1500 MCQs & NTQs, last six years GATE Solved papers of 2016 and 2021. Features: Comprehensive theory with concepts. Ample questions supplemented with solutions and diagrams. Thoroughly revised and updated as per new syllabus.

This book has been prepared by a group of faculties who are highly experienced in training GATE candidates and are also subject matter experts. As a result this book would serve as a one-stop solution for any GATE aspirant to crack the examination. The book is divided into three parts covering, (1) General Aptitude, (2) Engineering Mathematics and (3) Computer Science and Information Technology. Coverage is as per the syllabus prescribed for GATE and topics are handled in a comprehensive manner - beginning from the basics and progressing in a step-by-step manner supported by ample number of so.

This book has been prepared by a group of faculties who are highly experienced in training GATE candidates and are also subject matter experts. As a result this book would serve as a one-stop solution for any GATE aspirant to crack the examination. The bo

This book would act as a one-stop assessment solution for GATE Aspirants. It consists of both topic-wise tests and full length mock tests for thorough practice. Out of the 7 mock tests included in the book 5 mock tests are provided at end of the book and

Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods