-
Statistics All-in-One For Dummies
Author Deborah J. Rumsey
The odds-on best way to master stats.Statistics All-in-One For Dummies is packed with lessons, examples, and practice problems to help you slay your stats course. Develop confidence and understanding in statistics with easy-to-understand (even fun) explanations of key concepts. Plus, you’ll get acce....
Release Date 2022/11 -
Optimal and Robust State Estimation
Author Yuriy S. Shmaliy , Shunyi Zhao
A unified and systematic theoretical framework for solving problems related to finite impulse response (FIR) estimateOptimal and Robust State Estimation: Finite Impulse Response (FIR) and Kalman Approaches is a comprehensive investigation into batch state estimators and recursive forms. The work beg....
Release Date 2022/08 -
Analytics for Retail: A Step-by-Step Guide to the Statistics Behind a Successful Retail Business
Author Rhoda Okunev
Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and....
Release Date 2022/06 -
Statistics Crash Course for Beginners
A beginner-friendly crash course to statistics utilizing Python with an eye to preparing students for further study in machine learningKey FeaturesA quick introduction to Python for statisticsHands-on projects for guided practiceInstant access to PDFs, Python codes, exercises, and references on the .... -
SPSS Statistics For Dummies, 4th Edition
The fun and friendly guide to mastering IBM’s Statistical Package for the Social SciencesWritten by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.Co.... -
The Statistics and Calculus with Python Workshop
Author Peter Farrell , Alvaro Fuentes , Ajinkya Sudhir Kolhe
With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easyKey FeaturesDiscover how most programmers use the main Python libraries when performing statistics with Pytho....
Release Date 2020/08 -
Practical Statistics for Data Scientists, 2nd Edition
Author Peter Gedeck , Andrew Bruce , Peter Bruce
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including exam....
Release Date 2020/05 -
Principles of Managerial Statistics and Data Science
Author Roberto Rivera
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data....
Release Date 2020/02 -
Advanced Statistics with Applications in R
Author Eugene Demidenko
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issue....
Release Date 2019/11 -
Author Jürgen Pilz , Rob Verdooren , Dieter Rasch
Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services,....
Release Date 2019/10 -
Author Lawrence N. Dworsky
A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical levelWritten in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guid....
Release Date 2019/09 -
Bayesian Statistics the Fun Way
Author Will Kurt
Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don’t even understand, meaning they aren’t getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you....
Release Date 2019/07 -
Author Jacques Magliolo
This book will help you find faults and then solutions to establish a solid foundation for your company and, when required, quickly fix, coordinate recovery, raise finance, and advise you on how you can run a profitable business.Global statistics proclaim that 80 p....
Release Date 2019/06 -
Statistics for Biomedical Engineers and Scientists
Author Robert Eckersley , Andrew King
Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts....
Release Date 2019/05 -
Author Konstadinos G. Politis , Markos V. Koutras , N. Balakrishnan
An essential guide to the concepts of probability theory that puts the focus on models and applicationsIntroduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and application....
Release Date 2019/05 -
Statistics Essentials For Dummies
Author Deborah J. Rumsey
Statistics Essentials For Dummies (9781119590309) was previously published as Statistics Essentials For Dummies (9780470618394). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a ....
Release Date 2019/05 -
Training Systems Using Python Statistical Modeling
Author Curtis Miller
Leverage the power of Python and statistical modeling techniques for building accurate predictive modelsKey FeaturesGet started with Python's rich suite of libraries for statistical modeling Implement regression and clustering, and train neural networks from scratch Di....
Release Date 2019/05 -
Probability, Random Variables, Statistics, and Random Processes
Author Ali Grami
Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of th....
Release Date 2019/04 -
Robust Statistics, 2nd Edition
Author Matías Salibián-Barrera , Victor J. Yohai , R. Douglas Martin , Ricardo A. Maronna
A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R.Classical statistics fail to cope well with outliers ass....
Release Date 2019/01 -
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
Author Eric Goh Ming Hui
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferent....
Release Date 2018/11 -
A Guide to Business Statistics
Author David M. McEvoy
An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notationA Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and e....
Release Date 2018/04 -
Author Dieter Schott , Dieter Rasch
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 ....
Release Date 2018/03 -
Author Richard McElreath
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-s....
Release Date 2018/01 -
Author Alexander D. Poularikas
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusin....
Release Date 2017/12 -
Statistics for Process Control Engineers
Author Myke King
The first statistics guide focussing on practical application to process control design and maintenanceStatistics for Process Control Engineers is the only guide to statistics written by and for process control professionals. It takes a wholly practical approach to....
Release Date 2017/10 -
Author Trevor Bihl
Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth,....
Release Date 2017/10 -
Data Analysis with IBM SPSS Statistics
Author Anthony J. Babinec , Kenneth Stehlik-Barry
Master data management & analysis techniques with IBM SPSS Statistics 24About This BookLeverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your dataChoose the right statistical technique to analyze different types of data and ....
Release Date 2017/09 -
Statistics for Machine Learning
Author Pratap Dangeti
Build Machine Learning models with a sound statistical understanding.About This BookLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervis....
Release Date 2017/07