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BPP Learning Media provides comprehensive materials that highlight the areas to focus on for your exams and complement the syllabus to increase your understanding.
BPP Learning Media provides comprehensive materials that highlight the areas to focus on for your exams and complement the syllabus to increase your understanding.
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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
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This study text is designed to assist students worldwide to pass their CIMA E1 "Managing finance in a Digital World" exam. The study text contains all the notes you need to pass your CIMA E1 exam. What's included The CIMA E1 syllabus consists of 5 key areas. All key areas of the syllabus are covered in this study text A. Role of the finance function B. Technology in a digital world C. Data and information in a digital world D. Shape and structure of the finance function E. Finance interacting with the organization Features Contains all the notes you need to pass your E1 exam. Short on time and no time to waste? No worries, the entire syllabus is taught in the most concise way. Always on point, with no unnecessary content. Not sure what would be tested in the exam? We included a list of potential exam testing points at the end of each lesson. This is based on our student's and staff members' experience with past examinations, CIMA official exam practice kits, and CIMA aptitude programs. Everything in this book is backed up with valid resources and references. You can see a list of additional reading material at the end of each lesson. We also provide links to all reference material.