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    • Applied Statistical Techniques
      Econometrics
      September 2020

      Applied Statistical Techniques

      by Ekwal Imam

      The book is a reference book useful for undergraduates, postgraduates and research scholars of biological, ecological and medical sciences. The purpose of writing this book is to provide an accessible reference book on statistical techniques whose proper use will help students in withdrawing accurate results and able to interpret them logically. The methods described in this book are, of course, the same as those used in different disciplines, but things are made so users friendly that even general readers will find this book useful. The chapters of the book have been organized in such a way that suits the course curriculum of various universities. In this book enough materials are provided to cover statistical techniques with examples which are ecological and biological based.

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    • Biostatistics
      Science & Mathematics
      August 2014

      Biostatistics

      Basic Concepts and Methodology

      by K.S.Kushwaha & C.M.Pandey

      The book is aimed at providing an understanding of basic principles and practices of Biostatistics. Attempt has been made to give a comprehensive inside into the basic concepts of biostatistics i.e. sound easy to read, relevant and useful to students and practitioners of biostatistics. The book includes the design of clinical trials and epidemiological studies collection of data, research methods, clinical measurement and sample size, calculations for various study designs. This makes it a handbook of biostatistics for students and researchers for agriculture, veterinary, life sciences, medicine, public health, biological and social sciences.

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    • Analytics in Meteorology
      Probability & statistics
      November 2025

      Analytics in Meteorology

      Data Transformation for Weather Intelligence

      by BV Ramana Rao, Surender Singh & V Uma Maheswara Rao

      Analytics in Meteorology: Data Transformation for Weather Intelligence bridges the gap between atmospheric science and modern data analytics. In an era of rapid climate change and data abundance, the book shows how to transform vast meteorological datasets—from satellites, ground stations, drones, and citizen science—into actionable insights. Covering atmospheric physics, data acquisition, quality control, statistical analysis, machine learning, visualization, and numerical weather prediction, it offers a unified framework for understanding and forecasting weather and climate. Designed for meteorologists, data scientists, researchers, students, and policymakers, this book equips readers to improve forecast accuracy, strengthen climate assessments, and support informed decision-making. Combining theory, tools, and real-world applications, it provides the essential foundation for harnessing “Weather Intelligence” to meet today’s environmental challenges.

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    • Statistical Analysis Using R Software
      Research methods: general
      July 2021

      Statistical Analysis Using R Software

      by Abhiram Dash

      The book Statistical Analysis Using R software deals with the fundamental concept of R software and the codes in R used for statistical analysis. It includes the development and content of R software, the concept of writing codes in R, importing of data from other software for use in R software. The codes in R used for statistical analysis purpose are mentioned in the mentioned and vividly explained. The book would definitely help the students and the personnel involved in teaching and research in understanding the concepts of R and its use for statistical analysis purpose.

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    • Statistical Designs and Analysis for Agricultural Field Experiments
      Agriculture & farming
      June 2013

      Statistical Designs and Analysis for Agricultural Field Experiments

      by Vijay Katyal & D.M.Hegde

      The book is written in easy to understand language, in short paragraphs and is fully supported by adequate examples. The book consists of 11 chapters.

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    • Statistical Methods for Agricultural Field Experiments
      Research methods: general
      September 2011

      Statistical Methods for Agricultural Field Experiments

      by Vijaya Katyal & B.Gangwar

      The book consists of 12 chapters. The I is related to terminology in experimental design while the II devoted to completely randomized block design and randomized block design for agricultural experiments in the field. The III is devoted to factorial experiments in randomized block design involving two or more factoThe IV deals with partially confounded and fully confounded factorial experiments. The cheaper V deals with split plot design and strip plot design. The VI deals with repetition of experiments over years with sampling in agricultural trials at cultivators fields, while VII is related to sustainability of crop sequences and treatments. The VIII deals with analysis of trials at cultivators fields while the IX deals with sampling techniques. X deals with co-relation and regression studies. The XI spells out the agronomic considerations and synthesis of system based results. The last XII deals with methodology and procedure for farming systems research while the schedule for date collection for farming systems characterization and evaluation is given in appendix.

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    • Practical Multivariate Statistics
      Probability & statistics
      January 2019

      Practical Multivariate Statistics

      by K.S.Kushwaha & Rajesh Kumar

      The book entitled Practical Multivariate Statistics has been designed for P.G. and Ph.D. students of Pure Statistics, Agricultural Statistics, Biological & Social Sciences and those who have to appear in various competitive examinations like (ISS, IES, SSS, A.S.R.B., States PSCs, NET and IAS.). This book is also useful for faculties of Department of Statistics of Indian Universities. The book is the outcome of 33 years of teaching experience of U.G., P.G. and Ph.D. students of different disciplines of Agriculture, Agril. Engg. and Agril Statistics. The book contains 12 chapters, out of which (1-5) deals with the Multivariate Analysis, (6-9) Multivariate Regression Analysis, (10) Multicollinearity, (11) Sampling Distributions of Partial & Multiple Correlation and (12) Elements of Stochastic Processes. In each chapter three type of questions. True/False, Fill in the Blanks and Multiple Choice Questions alongwith their Key Answers have been provided.

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    • Numerical Methods
      Numerical analysis
      August 2019

      Numerical Methods

      by Atul Goel

      The book is designed as an introductory undergraduate and graduate course for engineering, science and mathematics students of all desciplines. The Numerical Methods book covers all the major aaspects such as numerical computation; linear system of equations; solutions of algenric and transcendental equations; numerical differentiation; finite differences and interpolation; curve fitting, regression and correlation; numerical integration; and solutions of ordinay and partial differential equations. This book is written in simple and easy language, in systematic manner, student-friendly and numerical problem solving orientation. Balance is maintained between theory and its examples. Each concept can be justified with the help of examples (which is unavailable in other books) as student may come dilemma to find the solution of the concept from other books. So learning is with the help of examples, as examples are the best source to learn and remember that particular problem. At the end of chapters, excercise questions are given.

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    • Numerical Methods and Models in Earth Science
      Geography & the Environment
      January 2011

      Numerical Methods and Models in Earth Science

      by Parthasarathi Ghosh

      "Understanding earth systems and its dynamic behavior requires objective insights into the complex observational data sets and their interrelationships. Drawing meaningful inferences from such data is not always an easy task as the deterministic relationships between various geological variables often remain obscured. These interrelationships need to be determined empirically through the analysis of a large set of data and validated through numerical simulations. The ever widening horizon of techniques of numerical analysis and simulation now provides a good number of tools to aid the interpretation. However, due to the inherent complexity of earth science data, expert supervision is required at all stages of analysis from collection to dissemination. This ensures that the most appropriate methodology is adopted and the results remain consistent with the geological principles. Discussions on these practical issues often lie beyond the scope of textbooks and this is precisely where this book is placed. In this book eminent geoscientists present their experiences in analyzing and managing earth science data as well as in designing numerical models to simulate earth processes. Apart from giving a discourse of their own approach towards a particular research problem they also discuss at length the relative merits of alternative methodologies. These seven authoritative articles, richly illustrated, will be a valuable resource for research students and professionals interested in research and teaching in various branches of earth science like, tectonics, GPS geodesy, sedimentology, geographical information science, and evolutionary biology."

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    • Trusted Partner
      Mathematics for economists
      Science & Mathematics
      September 2023

      Mathematics for economists

      An introductory textbook, fifth edition

      by Malcolm Pemberton, Nicholas Rau

      This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics, econometrics and finance. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, dynamics and static and dynamic optimisation. The last three chapters are an accessible introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study.

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    • Trusted Partner
      Mathematics for economists
      Science & Mathematics
      September 2023

      Mathematics for economists

      An introductory textbook, fifth edition

      by Malcolm Pemberton, Nicholas Rau

      This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics, econometrics and finance. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, dynamics and static and dynamic optimisation. The last three chapters are an accessible introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study.

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    • Trusted Partner
      Mathematics for economists
      Science & Mathematics
      September 2023

      Mathematics for economists

      An introductory textbook, fifth edition

      by Malcolm Pemberton, Nicholas Rau

      This book is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics, econometrics and finance. Building up gently from a very low level, the authors provide a clear, systematic coverage of calculus and matrix algebra. The second half of the book gives a thorough account of probability, dynamics and static and dynamic optimisation. The last three chapters are an accessible introduction to the rigorous mathematical analysis used in graduate-level economics. The emphasis throughout is on intuitive argument and problem-solving. All methods are illustrated by examples, exercises and problems selected from central areas of modern economic analysis. The book's careful arrangement in short chapters enables it to be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self-study.

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    • Gayatri’s Maths Mantra
      Science & Mathematics
      July 2012

      Gayatri’s Maths Mantra

      by Gayatri Lodha

      Generally school going children find it difficult to understand mathematics. This book explains simple techniques of basic mathematical calculations such as multiplication and division. With the help of these techniques one can improve the speed of calculation as well as accuracy.

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    • Time-Varying Stochastic Systems: Stability and Adaptive Theory (Second Edition)
      Science & Mathematics
      July 2020

      Time-Varying Stochastic Systems: Stability and Adaptive Theory (Second Edition)

      by GUO Lei

      Time-varying Stochastic Systems widely exist in reality and many random recursive algorithms can also be studied as such systems. The stability, adaptive estimation and adaptive control of such systems are discussed in this book. The book consists of eight chapters, which not only include the classical results of stability and stabilization commonly used, but also focus on the introduction of basic adaptive estimation, filtering and control problems and the theoretical basis of corresponding algorithms, most of which belong to the author’s research results.

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    • Euclidean Geometry in Mathematical Olympiads
      Mathematics
      December 2016

      Euclidean Geometry in Mathematical Olympiads

      by Evan Chen

      This is a challenging problem-solving book in Euclidean geometry, assuming nothing of the reader other than a good deal of courage. Topics covered included cyclic quadrilaterals, power of a point, homothety, triangle centers; along the way the reader will meet such classical gems as the nine-point circle, the Simson line, the symmedian and the mixtilinear incircle, as well as the theorems of Euler, Ceva, Menelaus, and Pascal. Another part is dedicated to the use of complex numbers and barycentric coordinates, granting the reader both a traditional and computational viewpoint of the material. The final part consists of some more advanced topics, such as inversion in the plane, the cross ratio and projective transformations, and the theory of the complete quadrilateral. The exposition is friendly and relaxed, and accompanied by over 300 beautifully drawn figures. The emphasis of this book is placed squarely on the problems. Each chapter contains carefully chosen worked examples, which explain not only the solutions to the problems but also describe in close detail how one would invent the solution to begin with. The text contains a selection of 300 practice problems of varying difficulty from contests around the world, with extensive hints and selected solutions. This book is especially suitable for students preparing for national or international mathematical olympiads or for teachers looking for a text for an honor class.

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    • Cosmic Zoom
      Science & Mathematics
      April 2021

      Cosmic Zoom

      Scale, Knowledge, and Mediation

      by Horton, Zachary

      Many of us have encountered a version of what Zachary Horton calls the “cosmic zoom”—a visual journey through the many scales of the universe, from the microscopic to the cosmic. Most of our daily perception operates at a level of scale somewhere between that of quarks and galaxies, and it is this comfort with the immediately visible everyday world that the cosmic zoom unsettles. Horton uses the history of the cosmic zoom to explore how that scale itself has been constructed over the past seventy years. How has cosmic zoom media influenced scientific and popular understanding of the unseen world and how it may be known, accessed, and exploited? Horton insists that scale is the key to understanding and addressing major contemporary issues including climate change and big data, but people working on issues of scale in various disciplines often talk past each other. Horton starts by sketching four common ways of thinking about scale derived from cartography, physics, engineering/biology, and mathematics. He then shows how these concepts operate in various disciplines, explains why they don’t fit together, and puts forth a new, transdisciplinary theory and vocabulary of scale, one that links the natural sciences, humanities, and social sciences. In this ambitious work, scale becomes a foundation for rethinking the relationships between knowledge, mediation, and environment.

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    • Nonlinear Wave Equations
      Science & Mathematics

      Nonlinear Wave Equations

      by Li Tatsien, Zhou Yi

      Nonlinear wave equations belong to a typical category of nonlinear evolutionary equations that is of great theoretical significance and practical value. The whole book has got fifteen chapters in all. The first seven serve as a prelude for later discussions, but still have their own meanings and values. Among the later eight chapters, five discuss the global existence and the lower bound estimates of life-span for classical solutions in all possible situations by adopting the global iteration method, including the proof of global existence of classical solutions under the hypothesis of the null condition; two focus on demonstrating the sharpness of the obtained lower bound estimates of life-span; and the last chapter entails relevant applications and extensions.

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    • Cambridge International AS & A Level Mathematics
      Science & Mathematics
      February 2020

      Cambridge International AS & A Level Mathematics

      Revision Guide for Pure Mathematics 3

      by Yong Yau, Lee Lip Seong, Amy Khoo

      Cambridge International AS & A Level Mathematics: Revision Guide for Pure Mathematics 3 is a study guide that aims to support students preparing for the Cambridge International AS & A Level Mathematics (9709) examination. Written by seasoned lecturers, this book provides in-depth coverage of the latest 2020–2022 syllabus for the Pure Mathematics 3 component of the examination. This book is filled with step-by-step worked examples, clear and concise explanations, insightful study tips, and questions from actual past examination papers for self-assessment. This book is suitable for students taking Paper 3 of the Cambridge International AS & A Level Mathematics (9709) examination.

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