Probability Statistics And Data Analysis

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Soft Methods in Probability, Statistics and Data Analysis

Przemyslaw Grzegorzewski,Olgierd Hryniewicz,Maria A. Gil
Soft Methods in Probability Statistics and Data Analysis Book PDF

Author : Przemyslaw Grzegorzewski,Olgierd Hryniewicz,Maria A. Gil
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 44,9 Mb
Release : 2013-12-11
Category : Mathematics
ISBN : 9783790817737

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Soft Methods in Probability, Statistics and Data Analysis by Przemyslaw Grzegorzewski,Olgierd Hryniewicz,Maria A. Gil Pdf

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.

Statistics for Data Scientists

Maurits Kaptein,Edwin van den Heuvel
Statistics for Data Scientists Book PDF

Author : Maurits Kaptein,Edwin van den Heuvel
Publisher : Springer Nature
Page : 342 pages
File Size : 49,9 Mb
Release : 2022-02-02
Category : Computers
ISBN : 9783030105310

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Statistics for Data Scientists by Maurits Kaptein,Edwin van den Heuvel Pdf

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

Probability and Statistics for Data Science

Norman Matloff
Probability and Statistics for Data Science Book PDF

Author : Norman Matloff
Publisher : CRC Press
Page : 295 pages
File Size : 44,8 Mb
Release : 2019-06-21
Category : Business & Economics
ISBN : 9780429687112

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Probability and Statistics for Data Science by Norman Matloff Pdf

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.

Statistics for Data Scientists

Maurits Kaptein,Edwin van den Heuvel
Statistics for Data Scientists Book PDF

Author : Maurits Kaptein,Edwin van den Heuvel
Publisher : Springer
Page : 321 pages
File Size : 53,5 Mb
Release : 2022-02-27
Category : Computers
ISBN : 303010530X

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Statistics for Data Scientists by Maurits Kaptein,Edwin van den Heuvel Pdf

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

The New Statistical Analysis of Data

T.W. Anderson,Jeremy Finn
The New Statistical Analysis of Data Book PDF

Author : T.W. Anderson,Jeremy Finn
Publisher : Springer Science & Business Media
Page : 742 pages
File Size : 54,7 Mb
Release : 1996-12-13
Category : Mathematics
ISBN : 0387946195

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The New Statistical Analysis of Data by T.W. Anderson,Jeremy Finn Pdf

A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

Probability, Statistics, and Data Analysis

Oscar Kempthorne,Leroy Folks
Probability Statistics and Data Analysis Book PDF

Author : Oscar Kempthorne,Leroy Folks
Publisher : Unknown
Page : 584 pages
File Size : 55,8 Mb
Release : 1971
Category : Mathematics
ISBN : UOM:39015015725149

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Probability, Statistics, and Data Analysis by Oscar Kempthorne,Leroy Folks Pdf

General background; The nature of real populations; Calculus of probability; Some commonly occurring mathematical distributions; Distributions of functions of random variables; Distribution of sample statistics; Stochastic processes; General outline of data interpretation problems; Goodness of fit of a completely specified model; Parametric models and likelihood theory; Inference by likelihood and baye's theorem; Statistical tests; Statistical intervals; Decision making; Relationships pf two variables and curve fitting; Structured populations.

Introduction to Statistics and Data Analysis

Christian Heumann,Michael Schomaker,Shalabh
Introduction to Statistics and Data Analysis Book PDF

Author : Christian Heumann,Michael Schomaker,Shalabh
Publisher : Springer Nature
Page : 584 pages
File Size : 50,5 Mb
Release : 2023-01-30
Category : Mathematics
ISBN : 9783031118333

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Introduction to Statistics and Data Analysis by Christian Heumann,Michael Schomaker,Shalabh Pdf

Now in its second edition, 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. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. 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 the methods to their own applications.

Probability and Statistics

Michael J. Evans,Jeffrey S. Rosenthal
Probability and Statistics Book PDF

Author : Michael J. Evans,Jeffrey S. Rosenthal
Publisher : WH Freeman
Page : 200 pages
File Size : 40,7 Mb
Release : 2010-03-01
Category : Mathematics
ISBN : 1429224630

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Probability and Statistics by Michael J. Evans,Jeffrey S. Rosenthal Pdf

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Practical Statistics for Data Scientists

Peter Bruce,Andrew Bruce
Practical Statistics for Data Scientists Book PDF

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 54,6 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

DATA ANALYSIS

BISHNU, PARTHA SARATHI,BHATTACHERJEE, VANDANA
DATA ANALYSIS Book PDF

Author : BISHNU, PARTHA SARATHI,BHATTACHERJEE, VANDANA
Publisher : PHI Learning Pvt. Ltd.
Page : 592 pages
File Size : 43,7 Mb
Release : 2024-07-02
Category : Computers
ISBN : 9789387472662

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DATA ANALYSIS by BISHNU, PARTHA SARATHI,BHATTACHERJEE, VANDANA Pdf

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

Statistics 101

David Borman
Statistics 101 Book PDF

Author : David Borman
Publisher : Simon and Schuster
Page : 240 pages
File Size : 46,8 Mb
Release : 2018-12-18
Category : Mathematics
ISBN : 9781507208182

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Statistics 101 by David Borman Pdf

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.

Statistical Data Analysis

Glen Cowan
Statistical Data Analysis Book PDF

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 42,7 Mb
Release : 1998
Category : Mathematics
ISBN : 9780198501565

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Statistical Data Analysis by Glen Cowan Pdf

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

A Modern Introduction to Probability and Statistics

F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
A Modern Introduction to Probability and Statistics Book PDF

Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
Publisher : Springer Science & Business Media
Page : 488 pages
File Size : 51,7 Mb
Release : 2006-03-30
Category : Mathematics
ISBN : 9781846281686

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A Modern Introduction to Probability and Statistics by F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester Pdf

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Probability, Statistics, and Data

Darrin Speegle,Bryan Clair
Probability Statistics and Data Book PDF

Author : Darrin Speegle,Bryan Clair
Publisher : CRC Press
Page : 644 pages
File Size : 43,9 Mb
Release : 2021-11-26
Category : Business & Economics
ISBN : 9781000504514

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Probability, Statistics, and Data by Darrin Speegle,Bryan Clair Pdf

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.

Probability

Guy Lebanon
Probability Book PDF

Author : Guy Lebanon
Publisher : Unknown
Page : 346 pages
File Size : 52,5 Mb
Release : 2012-10-09
Category : Machine learning
ISBN : 1479344761

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Probability by Guy Lebanon Pdf

Introduction to probability theory with an emphasis on the multivariate case. Includes random vectors, random processes, Markov chains, limit theorems, and related mathematics such as metric spaces, measure theory, and integration.