Mathematics No. of Books Found 6

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  • Key Notes On Agricultural Economics, Business Management And Statistics (PB)

    J V Patil, U D Chavan, H R Shnide, P P Pawar

    Item Code: #9789351246473

    Availability: In stock

  • First Course In Mathematical Models Of Population Growth (with MATLAB Programs)

    C R Ranganathan

    Item Code: #9788185211633

    Availability: In stock

    This book attempts to present in a systematic way the most common and elementary models of Population growth. In this book the term population is used in a very general sense and hence the models can be applied to study the evolution of any type of biological organism. In each chapter the models are arranged in the order of mathematical complexity. The first chapter presents an overview of mathematical models and their characteristics. Chapter 2 discusses at length various discrete models of population growth. While chapter 3 discusses the classical deterministic models, chapter 4 includes extensions and recent modifications of the models presented in the previous chapter. The qualitative solutions of the models, which are sometimes more valuable and useful than quantitative solutions, are included in chapter 5. Properties of the logistic map, bifurcation diagrams, Feigenbaum constant, an introduction to Chaos and Lyapunov exponent are some of the topics covered in this chapter Chapter 6 is devoted to classical models of interaction between two different species. Chapter 7 presents models on human and plant epidemiology. Finally, chapter 8 presents an introduction to stochastic models. The book can be prescribed for on e semester course for postgraduate students or as an elective subject at advanced undergraduate level.
  • Textbook Of Basic Mathematics For Forestry, Horticulture & Agriculture Courses

    S K Sheel

    Item Code: #9789351246411

    Availability: In stock

  • Introduction To Linear Algebra

    Frank M Stewart

    Item Code: #9788155528191

    Availability: In stock

  • Dictionary Of Terms In Physics, Chemistry And Mathematics

    Arun Kumar, Shankar Lal

    Item Code: #9788170195788

    Availability: In stock

  • Biostatistics : A Bayesian Introduction

    George G Woodworth

    Item Code: #9788126537020

    Availability: In stock

    An essential introductory text linking traditional biostatistics with bayesian methods
    In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health. As an interpretive system integrating data with observation, the Bayesian approach provides a nuanced yet mathematically rigorous means of conceptualizing biomedical statistics--from diagnostic tests to DNA evidence.
    Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the foundations of biostatistics through the Bayesian lens. Using easily understood, classic Dutch Book thought experiments to derive subjective probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting--such as confidence intervals, margins of error, and one-sided p-values--in Bayesian terms. Topics covered include:
    * Probability and subjective probability
    * Distributions and descriptive statistics
    * Continuous probability distributions
    * Comparing rates and means
    * Linear models and statistical adjustment
    * Logistic regression and adjusted odds ratios
    * Survival analysis
    * Hierarchical models and meta-analysis
    * Decision theory and sample size determination
    The book includes extensive problem sets and references in each chapter, as well as complete instructions on computer analysis with the versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian Introduction offers an unique, real-world entry point into a remarkable alternative method of interpreting statistical data.

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