Browsing by Subject "Mathematical statistics"
Now showing items 120 of 24

40 puzzles and problems in probability and mathematical statistics
(Springer, 2008) 
All of statistics : a concise course in statistical inference
(Springer, 2004)This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book ... 
An introduction to mathematical statistics and its applications
(Pearson, 2018)This book provides students who have already taken three or more semesters of calculus with the background to apply statistical principles. Meaty enough to guide a twosemester course, the book touches on both statistics ... 
Applied linear statistical models
(McGrawHill, 2005)This book is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. ... 
Applied predictive modeling
(Springer, 2013)This book covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous ... 
Applied statistics : using SPSS, STATISTICA, MATLAB and R
(Springer, 2007) 
Data analysis using SAS Enterprise guide
(Cambridge University Press, 2009)This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data. 
Econometric analysis of stochastic dominance : concepts, methods, tools, and applications
(Cambridge University Press, 2019)This book offers an uptodate, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance ... 
Foundations and applications of statistics : an introduction using R
(American Mathematical Society, 2018)Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability ... 
Handbook of spatial statistics
(CRC Press, 2010)The handbook of spatial statistics presents a comprehensive treatment of both classical and stateoftheart aspects of this maturing area. It takes a unified, integrated approach to the material, providing crossreferences ... 
Introduction to mathematical statistics
(Pearson, 2019)This book enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text’s ... 
Introduction to probability and statistics for engineers and scientists
(Elsevier, 2004)This book, 3rd edition, provides an introduction to applied probability and statistics for engineering or science majors . This updated text emphasizes the manner in which probability yields insight into statistical problems, ... 
Introduction to probability and statistics for engineers and scientists
(Academic Press, 2021)This book, 6th edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and ... 
Introduction to probability and statistics for engineers and scientists
(Elsevier, 2009)This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately ... 
Introduction to probability and statistics for engineers and scientists
(Elsevier, 2014)This book provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately ... 
Mathematical statistics
(Springer, 2003) 
Principles of managerial statistics and data science
(John Wiley & Sons, Inc., 2020)"This book introduces the topics of Big Data, data analytics and data science and features the use of open source data. Among the statistical topics described in this book are: data visualization, descriptive measures, ... 
Principles of statistics for engineers and scientists
(McGrawHill, 2021)This book emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show ... 
Python for probability, statistics, and machine learning
(Springer, 2016)This textbook, fully updated to feature Python version 3.7, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules. The entire text, including all the figures and ... 
Quantitative risk management : concepts, techniques, and tools
(Princeton University Press, 2005)This book provides a comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management and equips readerswhether financial risk analysts, actuaries, regulators, or students of ...