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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. pp. 184.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 55,03
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 53,81
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119675847 ISBN 13: 9781119675846
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 73,09
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: Classical equally likely outcomes Variety of models of discrete and continuous probability laws Likelihood function and ratio Inference Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoCondición: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 165 pages. 9.50x6.50x0.50 inches. In Stock.
Librería: Ubiquity Trade, Miami, FL, Estados Unidos de America
EUR 104,30
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,96
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119675847 ISBN 13: 9781119675846
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 114,49
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: Classical equally likely outcomes Variety of models of discrete and continuous probability laws Likelihood function and ratio Inference Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Wiley
ISBN 10: 1119675847 ISBN 13: 9781119675846
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 58,72
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Publicado por WILEY, 2020
ISBN 10: 1119675847 ISBN 13: 9781119675846
Librería: moluna, Greven, Alemania
EUR 60,63
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Añadir al carritoCondición: New. Über den AutorDAVID W. SCOTT is the Noah Harding Professor of Statistics at Rice University in Houston, Texas. He is a Fellow of the ASA, IMS, AAAS, an elected member of the ISI and received the 2004 Army Wilks Award and t.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 66,80
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 165 pages. 9.50x6.50x0.50 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119675847 ISBN 13: 9781119675846
Librería: CitiRetail, Stevenage, Reino Unido
EUR 73,52
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. The book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest. Topics discussed include: Classical equally likely outcomes Variety of models of discrete and continuous probability laws Likelihood function and ratio Inference Bayesian statistics With the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.