Barks robert arthur (35 résultats)

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

Etat : New. 2025. 1st Edition. hardcover. . . . . .

Etat : New. First published in 1972, Distribution Theory follows on from the author s earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some.

Etat : New. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner wil.

Buch. Etat : Neu. Neuware - First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.In this book, probability distributions are shown to develop out of different physical situations that are commonly met in the physical world. The three most commonly used- the binomial, Poisson, and normal distributions- are dealt in detail, but other less commonly used distributions are also introduced. By showing the different situations to which these distributions apply, their individuality is emphasised. The author then illustrates how these probability distributions are used in sampling theory. The book concludes with a chapter which shows how apparently different parts of statistics can be seen to interrelate through statistical theory. This is an interesting reference work for students of mathematics, statistics and economics.…

Hardcover. Etat : Brand New. 212 pages. 9.18x6.12x9.45 inches. In Stock.

Hardcover. Etat : Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.

Etat : New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Etat : New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Etat : New. 2025. 1st Edition. hardcover. . . . . .

Paperback. Etat : new. Paperback. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to get the feel of statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the need to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.In this book, probability distributions are shown to develop out of different physical situations that are commonly met in the physical world. The three most commonly used- the binomial, Poisson, and normal distributions- are dealt in detail, but other less commonly used distributions are also introduced. By showing the different situations to which these distributions apply, their individuality is emphasised. The author then illustrates how these probability distributions are used in sampling theory. The book concludes with a chapter which shows how apparently different parts of statistics can be seen to interrelate through statistical theory. This is an interesting reference work for students of mathematics, statistics and economics. First published in 1972, in Distribution Theory the author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to get the feel of statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the need to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.In this book, probability distributions are shown to develop out of different physical situations that are commonly met in the physical world. The three most commonly used- the binomial, Poisson, and normal distributions- are dealt in detail, but other less commonly used distributions are also introduced. By showing the different situations to which these distributions apply, their individuality is emphasised. The author then illustrates how these probability distributions are used in sampling theory. The book concludes with a chapter which shows how apparently different parts of statistics can be seen to interrelate through statistical theory. This is an interesting reference work for students of mathematics, statistics and economics. First published in 1972, in Distribution Theory the author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to 'get the feel of' statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the 'need' to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics. 212 pp. Englisch.…

Hardcover. Etat : new. Hardcover. First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.In this book, probability distributions are shown to develop out of different physical situations that are commonly met in the physical world. The three most commonly used- the binomial, Poisson, and normal distributions- are dealt in detail, but other less commonly used distributions are also introduced. By showing the different situations to which these distributions apply, their individuality is emphasised. The author then illustrates how these probability distributions are used in sampling theory. The book concludes with a chapter which shows how apparently different parts of statistics can be seen to interrelate through statistical theory. This is an interesting reference work for students of mathematics, statistics and economics. First published in 1972, in Distribution Theory the author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. Other starting points could have been chosen but a beginner will readily understand this sort of work and hence be able to get the feel of statistics, untroubled by the learning of fresh concepts.From this numerical work emerges the need to introduce counting techniques, permutations, combinations and the binomial theorem. In a similar way the necessity for probability is shown and the basic ideas are developed intuitively. A final short chapter shows how these ideas can be formalised within an axiomatic system. In all cases, simple intuitive ideas are taken as a starting point and then discussion leads to the final formalization. As concepts are introduced the language of statistics is developed. A large number of examples is used and they are all worked in full detail. Occasionally the reader is placed in a problem situation and invited to attempt his own individual solution before reading on to match his own attempts to other solutions. It is hoped that motivation of this sort will lead the reader to develop greater sensitivity than would otherwise be the case. This is an important read for students of statistics, mathematics and economics. First published in 1972, in Descriptive Statistics and Probability Theory the numerical work- the selection of numerical data-is used as a basis for developing the statistical theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…