Showing results for "Mathematical Statistics English"

There is no real reason why the theory of statistical methods should remain in obscurity. The necessary mathematics is largely elementary arithmetic and except in a few cases there is no need for higher mathematics. This book presupposes a reasonable familiarity with elementary mathematics only.

Explores mathematical statistics in its entirety—from the fundamentals to modern methodsThis book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before bei...

Practical Statistics is a method where a person who wants to learn basic statistics for work, school, and research can get knowledge. Statistics is a great combination of all fields combined together and helps companies grow further and further. Not restricting the operations to business only, Practical Statistics comes into play for all practical aspects and makes deducing the concepts and results easier. Starting from basic statistical factors like mean, median and mode, to complex facto...

Adhering to state and national math standards, this informative volume introduces readers to a world they may know little about: statistics and probability. In an effort to better forecast the future for gains and combat the potential losses of uncertainty, numerous areas have come to rely on the power of these disciplines. This book introduces the historical and mathematical basis of statistics and probability, as well as their application to everyday situations. Readers will also meet th...

Become a better decision-maker and more informed consumer using statistics stories.Stories stimulate our brains to enhance retention and understanding by evoking emotions. They provide context, helping us grasp complex concepts through real-life examples and establish a connection with the information.By transforming data into narratives, we recall and thus apply insights more effectively, enhancing our ability to make more informed decisions.What sticks more?

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains ho

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point o

Modern Mathematical Methods for Scientists and Engineers is a modern introduction to basic topics in mathematics at the undergraduate level, with emphasis on explanations and applications to real-life problems. There is also an 'Application' section at the end of each chapter, with topics drawn from a variety of areas, including neural networks, fluid dynamics, and the behavior of 'put' and 'call' options in financial markets. The book presents several modern important and computationally ...

Embark on a structured journey through the world of financial mathematics with this comprehensive guide. This book provides a solid foundation in the essential principles and methods required for sound financial analysis and decision-making.Beginning with the mathematical fundamentals of finance, you will explore core concepts such as interest and compound interest calculations, annuity and amortization accounting, as well as present and future value determinations. The text further...

Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models. In 'An Introduction to Mathematical Statistics' the authors describe key concepts from statistics and give a mathematical basis for important statistical methods. Much attention is paid to the sound application of those methods to data.The three main topics in statistics are estimators, tests, and confidence regions. The authors illustrate these in...

A thorough revision of the previous "Environmental Engineer's Mathematics Handbook," this book offers readers an unusual approach to presenting environmental math concepts, emphasizing the relationship between the principles in natural processes and environmental processes. It integrates the fundamental math operations performed by environmental pr

Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood functionThis book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ...