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Probably Not : Future Prediction Using Probability and Statistical Inference - Brani Vidakovic

ESEMPIO

(*)

Brani Vidakovic:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily … Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF \ Brani Vidakovic; Scientific, Technical and Medical > Mathematics > Probability & statistics, Wiley<

hive.co.uk

No. 9780470282045 Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, Costi di spedizione aggiuntivi
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

Probably Not : Future Prediction Using Probability and Statistical Inference - CIBA Foundation Symposium

(*)

CIBA Foundation Symposium:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily … Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Wiley<

hive.co.uk

No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
Details...

(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

Probably Not : Future Prediction Using Probability and Statistical Inference - Lawrence N. Dworsky

(*)

Lawrence N. Dworsky:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily… Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<

hive.co.uk

No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
Details...

(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

Probably Not : Future Prediction Using Probability and Statistical Inference - E. Bruce Nauman

(*)

E. Bruce Nauman:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily… Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<

hive.co.uk

No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
Details...

(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

Probably Not - Lawrence N. Dworsky

(*)

Lawrence N. Dworsky:
Probably Not - Prima edizione

2008, ISBN: 9780470282045

Future Prediction Using Probability and Statistical Inference, eBooks, eBook Download (PDF), 1. Auflage, [PU: John Wiley & Sons], John Wiley & Sons, 2008

lehmanns.de

Costi di spedizione:Download sofort lieferbar. (EUR 0.00)
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(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.

1

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Link sponsorizzato

Brani Vidakovic:

Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily … Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF \ Brani Vidakovic; Scientific, Technical and Medical > Mathematics > Probability & statistics, Wiley<

- No. 9780470282045 Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, Costi di spedizione aggiuntivi

Info su andamento dei prezzi

2

Probably Not : Future Prediction Using Probability and Statistical Inference - CIBA Foundation Symposium

Ordina
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£ 72,93

(indicativi € 83,31)

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Link sponsorizzato

CIBA Foundation Symposium:

Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily … Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics > Probability & statistics, Wiley<

- No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi

Info su andamento dei prezzi

3

Probably Not : Future Prediction Using Probability and Statistical Inference - Lawrence N. Dworsky

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Link sponsorizzato

Lawrence N. Dworsky:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily… Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<

No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi

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4

Probably Not : Future Prediction Using Probability and Statistical Inference - E. Bruce Nauman

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Link sponsorizzato

E. Bruce Nauman:
Probably Not : Future Prediction Using Probability and Statistical Inference - nuovo libro

ISBN: 9780470282045

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily… Altro …

An engaging, entertaining, and informative introduction to probability and prediction in our everyday lives Although Probably Not deals with probability and statistics, it is not heavily mathematical and is not filled with complex derivations, proofs, and theoretical problem sets. This book unveils the world of statistics through questions such as what is known based upon the information at hand and what can be expected to happen. While learning essential concepts including "the confidence factor" and "random walks," readers will be entertained and intrigued as they move from chapter to chapter. Moreover, the author provides a foundation of basic principles to guide decision making in almost all facets of life including playing games, developing winning business strategies, and managing personal finances.Much of the book is organized around easy-to-follow examples that address common, everyday issues such as:How travel time is affected by congestion, driving speed, and traffic lightsWhy different gambling casino strategies ultimately offer players no advantageHow to estimate how many different birds of one species are seen on a walk through the woodsSeemingly random events coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics.Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<

No. 9780470282045. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi

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5

Probably Not - Lawrence N. Dworsky

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Lawrence N. Dworsky:
Probably Not - Prima edizione

2008, ISBN: 9780470282045

Future Prediction Using Probability and Statistical Inference, eBooks, eBook Download (PDF), 1. Auflage, [PU: John Wiley & Sons], John Wiley & Sons, 2008

Costi di spedizione:Download sofort lieferbar. (EUR 0.00)

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Dettagli del libro

Probably Not

Autore:	Lawrence N. Dworsky
Titolo:	Probably Not
ISBN:	9780470282045

Informazioni dettagliate del libro - Probably Not

EAN (ISBN-13): 9780470282045
ISBN (ISBN-10): 0470282045
Anno di pubblicazione: 2008
Editore: John Wiley & Sons
352 Pagine
Lingua: eng/Englisch

Libro nella banca dati dal 2009-09-15T16:48:50+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-01-26T15:47:08+01:00 (Zurich)
ISBN/EAN: 9780470282045

ISBN - Stili di scrittura alternativi:
0-470-28204-5, 978-0-470-28204-5
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : dworsky, bruce nauman
Titolo del libro: statistical inference, probably not

Dati dell'editore

Autore: Lawrence N. Dworsky
Titolo: Probably Not - Future Prediction Using Probability and Statistical Inference
Editore: Wiley-Interscience; John Wiley & Sons
352 Pagine
Anno di pubblicazione: 2008-06-30
Lingua: Inglese
77,99 € (DE)

EA; E107; E-Book; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Angewandte Wahrscheinlichkeitsrechnung u. Statistik; Applied Probability & Statistics; Probability & Mathematical Statistics; Statistics; Statistik; Wahrscheinlichkeitsrechnung u. mathematische Statistik; Wahrscheinlichkeitsrechnung u. mathematische Statistik; Angewandte Wahrscheinlichkeitsrechnung u. Statistik; BC

Introduction. 1. An Introduction to Probability. Predicting The Future. Rule Making. Random Events and Probability. The Lottery {Very Improbable Events and Large Data Sets}. Coin Flipping {Fair Games, Looking Backwards For Insight}. The Coin Flip Strategy That Can't Lose. The Prize Behind The Door {Looking Backwards For Insight,Again}. The Checker Board {Dealing With Only Part Of The Data Set}. 2. Probability Distribution Functions And Some Basics. The Probability Distribution Function. Averages And Weighted Averages. Expected Values. The Basic Coin Flip Game. The Standard Deviation. The Cumulative Distribution Function. The Confidence Interval. Final Points. 3. Building a Bell. 4. Random Walks. The One Dimensional Random Walk. What Probability Really Means. Diffusion. 5. Life Insurance and Social Security. Insurance as Gambling. Life Tables. Birth Rates and Population Stability. Life Tables, Again. Premiums. Social Security - Sooner Or Later?. 6. Binomial Probabilities. The Binomial Probability Formula. Permutations And Combinations. Large Number Approximations. The Poisson Distribution. Disease Clusters. Clusters. 7. Pseudorandom Numbers and Monte Carlo Simulations. Pseudorandom Numbers. The Middle Square PSNG. The Linear Congruential PSNG. A Normal Distribution Generator. An Arbitrary Distribution Generator. Monte Carlo Simulations. A League Of Our Own. 8. Some Gambling Games In Detail. The Basic Coin Flip Game. The Gantt Chart. The Ultimate "Winning Strategy". The Game Show. Parimutuel Betting. 9. Traffic Lights And Traffic. Outsmarting A Traffic Light?. Many Lights And Many Cars. Simulating Traffic Flow - The Simulation. Simulation Results. 10. Combined And Conditional Probabilities. Functional Notation. Conditional Probability. Medical Test Results. The Shared Birthday Problem. 11. Scheduling And Waiting. Scheduling Appointments In The Doctor's Office. Lunch With A Friend. Waiting For A Bus. 12. Stock Market Portfolios. 13. Benford, Parrondo and Simpson. Benford's Law. Parrondo's Paradox. Simpson's Paradox. 14. Networks, Infectious Disease Propagation and ChainLetters. Degrees Of Separation. Propagation Along Networks. Some Other Uses Of Networks. Neighborhood Chains. 15. Bird Counting. A Walk In The Woods. A Model Of Bird Flying Habits. Spotting A Bird. Putting It All Together. 16. Statistical Mechanics And Heat. Statistical Mechanics. Thermodynamics. 17. Introduction To Statistical Analysis. Sampling. Sample Distributions and Standard Deviations. Estimating Population Average From A Sample. The Student-T Distribution. Polling Statistics. Did A Sample Come From A Given Population?. 18. Chaos and Quanta. Chaos. Probability In Quantum Mechanics.

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