Probability Statistics And Data Analysis
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Probability Statistics And Data Analysis
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Author : Oscar Kempthorne
language : en
Publisher:
Release Date : 1971
Probability Statistics And Data Analysis written by Oscar Kempthorne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.
General background; the nature of real populations; Calculus of probability; Some commonly ocurring mathematical distributions; Distributions of functions of random variables; Distribution of sample statistic; Stachartic processes; General outline of data interpretation problems; Goodness of fit of a completely specified model; Parametric models and likelihood theory; Statistical tests.
Introduction To Statistics And Data Analysis
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Author : Christian Heumann
language : en
Publisher: Springer
Release Date : 2017-01-26
Introduction To Statistics And Data Analysis written by Christian Heumann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Mathematics categories.
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Statistics For Data Scientists
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Author : Maurits Kaptein
language : en
Publisher:
Release Date : 2022
Statistics For Data Scientists written by Maurits Kaptein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Data Analysis
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Author : BISHNU, PARTHA SARATHI
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date :
Data Analysis written by BISHNU, PARTHA SARATHI and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Data Analysis Using Statistics and Probability with R Language is a complete introduction to data analysis. It provides a sound understanding of the foundations of the data analysis, in addition to covering many important advanced topics. Moreover, all the techniques have been implemented using R language as well as Excel. This book is intended for the undergraduate and postgraduate students of Management and Engineering disciplines. It is also useful for research scholars. KEY FEATURES 1. Covers data analysis topics such as: • Descriptive statistics like mean, median, mode, standard deviation, skewness, kurtosis, correlation and regression • Probability and probability distribution • Inferential statistics like estimation of parameters, hypothesis testing, ANOVA test, chi-square and t-test • Statistical quality control, time series analysis, statistical decision theory • Explorative data analysis like clustering and classification • Advanced techniques like conjoint analysis, panel data analysis, and logistic regression analysis 2. Comprises 12 chapters which include examples, solved problems, review questions and unsolved problems. 3. Requires no programming background and can be used to understand theoretical concepts also by skipping programming. 4. R and Excel implementations, and additional advanced topics are available at https://phindia.com/partha_sarathi_ bishnu_ and_vandana_bhattacherjee 5. Whenever in any branch, data analysis technique is required, this book is the best. TARGET AUDIENCE • Students of MBA, ME/M.Tech, and BE/B.Tech. • M.Sc. (Computer Science), MCA, BCA, and research scholars
Soft Methods In Probability Statistics And Data Analysis
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Author : Przemyslaw Grzegorzewski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11
Soft Methods In Probability Statistics And Data Analysis written by Przemyslaw Grzegorzewski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Mathematics categories.
Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis.
Probability Statistics And Data Analysis
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Author : Joseph T. Chang
language : en
Publisher:
Release Date : 2023
Probability Statistics And Data Analysis written by Joseph T. Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Bayesian statistical decision theory categories.
Statistics 101
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Author : David Borman
language : en
Publisher: Simon and Schuster
Release Date : 2018-12-18
Statistics 101 written by David Borman and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Mathematics categories.
A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
Statistics And Data Analysis
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Author : Andrew F. Siegel
language : en
Publisher:
Release Date : 1988-01-18
Statistics And Data Analysis written by Andrew F. Siegel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01-18 with Mathematics categories.
An introductory text for nontechnical students that integrates traditional statistical inference with the more modern idea of data analysis. Material begins with simple data sets and proceeds to those with more structure. Examples are plentiful and have been chosen from diverse fields, making the subject accessible to students of any academic field. Contains many pictures, as well as detailed calculations with step-by-step instructions and formulas that indicate in mathematical notation exactly what is being done. At the end of each chapter is a brief summary which reviews the material and explains key terms. Following this are questions which help readers review main new concepts and ideas, and practice problems (many with real data sets). Requires limited background in mathematics.
Probability And Statistics For Data Science
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Author : Norman Matloff
language : en
Publisher: CRC Press
Release Date : 2019-06-21
Probability And Statistics For Data Science written by Norman Matloff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-21 with Business & Economics categories.
Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.
Statistical Data Analysis Handbook
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Author : Francis J. Wall
language : en
Publisher: McGraw-Hill Companies
Release Date : 1986
Statistical Data Analysis Handbook written by Francis J. Wall and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematics categories.
It must be emphasized that this is not a text book on statistics. Instead it is a working tool that presents data analysis in clear, concise terms which can be readily understood even by those without formal training in statistics. Following pivotal chapters on the art of analysis, you will find two invaluable reference sections to which you're bound to turn again and again as you make your analyses. The first section gives you the data analyst's-as opposed to the statistician's-eyeview of the basics of a number of fundamental statistical techniques, including random samples, p-values, the analysis of variance, statistical tests, and testing. The second gives you 20 statistical tables that have been especially formatted and expanded to make them far easier to read and apply than conventional statistical tables.