Direct Download

Search results 70 Articles (Search results 1 - 10) :

Probability Help: The Probability and Statistics Tutor (DVDRip)

17 September 2012

**Probability Help: The Probability and Statistics Tutor**

MPEG-4 Video | AVI / XVID ~ 680 kb/s | 640 x 368 | Duration: ~ 10 hrs. | English: MP3 ~ 101 kb/s (2 ch) | 3.52 Gb

*Genre: eLearning*

Probability and Statistics usually gives students problems in the beginning because all of the problems are word problems that require the student to read and truly comprehend what is being asked before any solution can be attempted. This DVD tutorial lends help in probability and statistics just as if you hired a personal tutor in your home. Every probability video lesson is taught by fully worked example problems that help you not only do well in class - but truly understand the material. If you need probability help or a probability tutor that will make learning probability easy and painless, the Probability and Statistics Tutor will provide the tools you need to succeed.

17 September 2012

MPEG-4 Video | AVI / XVID ~ 680 kb/s | 640 x 368 | Duration: ~ 10 hrs. | English: MP3 ~ 101 kb/s (2 ch) | 3.52 Gb

Probability and Statistics usually gives students problems in the beginning because all of the problems are word problems that require the student to read and truly comprehend what is being asked before any solution can be attempted. This DVD tutorial lends help in probability and statistics just as if you hired a personal tutor in your home. Every probability video lesson is taught by fully worked example problems that help you not only do well in class - but truly understand the material. If you need probability help or a probability tutor that will make learning probability easy and painless, the Probability and Statistics Tutor will provide the tools you need to succeed.

Probability Help: The Probability and Statistics Tutor

2 November 2012

**Probability Help: The Probability and Statistics Tutor**

English | AVI / XVID ~ 680 kb/s | 640 x 368 | Duration: ~ 10 hrs. | MP3 ~ 101 kb/s (2 ch) | 3.52 Gb

*Genre: Video Training*

Probability and Statistics usually gives students problems in the beginning because all of the problems are word problems that require the student to read and truly comprehend what is being asked before any solution can be attempted. This DVD tutorial lends help in probability and statistics just as if you hired a personal tutor in your home. Every probability video lesson is taught by fully worked example problems that help you not only do well in class - but truly understand the material. If you need probability help or a probability tutor that will make learning probability easy and painless, the Probability and Statistics Tutor will provide the tools you need to succeed.

2 November 2012

English | AVI / XVID ~ 680 kb/s | 640 x 368 | Duration: ~ 10 hrs. | MP3 ~ 101 kb/s (2 ch) | 3.52 Gb

Probability and Statistics usually gives students problems in the beginning because all of the problems are word problems that require the student to read and truly comprehend what is being asked before any solution can be attempted. This DVD tutorial lends help in probability and statistics just as if you hired a personal tutor in your home. Every probability video lesson is taught by fully worked example problems that help you not only do well in class - but truly understand the material. If you need probability help or a probability tutor that will make learning probability easy and painless, the Probability and Statistics Tutor will provide the tools you need to succeed.

An Introduction to Probability and Statistical Inference

25 May 2013

**George G. Roussas, "An Introduction to Probability and Statistical Inference"**

2003 | ISBN-10: 0125990200 | 523 pages | PDF | 3,2 MB

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed an

25 May 2013

2003 | ISBN-10: 0125990200 | 523 pages | PDF | 3,2 MB

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed an

Inference Control in Statistical Databases: From Theory to Practice

17 November 2010

**Inference Control in Statistical Databases: From Theory to Practice**

DJVUInference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies. ...

17 November 2010

Springer 2002 | 231 | ISBN: 3540436146 | PDF | 2 Mb

DJVUInference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies. ...

Abstract Inference (Probability & Mathematical Statistics)

30 September 2011

**Abstract Inference Probability & Mathematical Statistics**

The title of this book is ambiguous, and intentionally so. On the one hand, Abstract Inference can refer to problems of statistical inference when the sample space is an abstract space. On the other, it can refer to the case when the parameter space is an abstract space. ...

30 September 2011

1981 | 538 | ISBN: 0471082678 | DJVU | 3 Mb

The title of this book is ambiguous, and intentionally so. On the one hand, Abstract Inference can refer to problems of statistical inference when the sample space is an abstract space. On the other, it can refer to the case when the parameter space is an abstract space. ...

Introduction to Probability and Statistics 14th Edition

21 February 2013

**Introduction to Probability and Statistics 14th Edition**

English | ISBN: 1133103758 | edition 2012 | PDF | 744 pages | 45.6 MB

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.

21 February 2013

English | ISBN: 1133103758 | edition 2012 | PDF | 744 pages | 45.6 MB

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.

Understanding Probability, 3rd Edition

2 March 2013

**Henk Tijms, "Understanding Probability (3rd Edition)"**

English | ISBN: 110765856X | 2012 | PDF | 572 pages | 4.6 MB

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

2 March 2013

English | ISBN: 110765856X | 2012 | PDF | 572 pages | 4.6 MB

Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

Advances in Statistical Modeling and Inference

16 August 2010

**Advances in Statistical Modeling and Inference**

Publisher: World Scientific | Pages: 700 | 2007-03-01 | ISBN 9812703691 | PDF | 12 MB

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference.

16 August 2010

Publisher: World Scientific | Pages: 700 | 2007-03-01 | ISBN 9812703691 | PDF | 12 MB

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have also led to the extensive use of simulation and Monte Carlo techniques in statistical inference.

Statistical Inference Based on Divergence Measures

24 November 2010

**Statistical Inference Based on Divergence Measures**

The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach....

24 November 2010

2006 | 512 | ISBN: 1584886005 | PDF | 3 Mb

The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach....

Probability Demystified

25 July 2010**Probability Demystified**

25 July 2010

McGraw-Hill Professional 2005 | 258 | ISBN: 0071445498 | PDF | 2

Many people do not understand the basic concepts of probability, as evidenced by the proliferation of those participating in lotteries, horse racing, and gambling at casinos. But probability and statistics are becoming increasingly important in today’s society. As the basic ideas are being taught in elementary schools through college, it’s important that everyone has a basic understanding of probability theory. Probability theory explains the happenings that occur due to chance. Although it is not possible to predict for certain the individual outcome of a chance process, it is possible to determine outcomes in the "long run," and to predict the probability that something will eventually occur. This book will present the basics of probability in a non-rigorous manner. Only an understanding of arithmetic and some basic algebra are necessary to learn these ideas. No high-powered mathematical notation or formal proofs will be used, rather the concepts will be developed from examples using coins, dice, cards, and other common probability devices. ...