Dieses Angebot wurde vom Verkäufer am Mi, 1. Okt um 01:50 beendet, da der Artikel nicht mehr verfügbar ist.
Course in Probability by Neil Weiss (2005, Trade Paperback)
Beendet
Course in Probability by Neil Weiss (2005, Trade Paperback)
US $65,00US $65,00
Do, 02. Okt, 01:50Do, 02. Okt, 01:50
Solch einen Artikel verkaufen
Mehr Artikel des Verkäufers

Course in Probability by Neil Weiss (2005, Trade Paperback)

ozarkjoe
(4619)
Angemeldet als privater Verkäufer
Verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, finden daher keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe.
Mehr Artikel des Verkäufers
Verkäufer kontaktieren
US $65,00
Ca.CHF 52,30
Artikelzustand:
Akzeptabel
“white stickers on front and back covers, likely to cover up mention of being a review copy.....clean ”... Mehr erfahrenÜber den Artikelzustand
Solch einen Artikel verkaufen
Mehr Artikel des Verkäufers
    Versand:
    US $5,00 (ca. CHF 4,02) USPS Media MailTM.
    Standort: Ottumwa, Iowa, USA
    Lieferung:
    Lieferung zwischen Do, 6. Nov und Mo, 10. Nov nach 94104 bei heutigem Zahlungseingang
    Wir wenden ein spezielles Verfahren zur Einschätzung des Liefertermins an – in diese Schätzung fließen Faktoren wie die Entfernung des Käufers zum Artikelstandort, der gewählte Versandservice, die bisher versandten Artikel des Verkäufers und weitere ein. Insbesondere während saisonaler Spitzenzeiten können die Lieferzeiten abweichen.
    Rücknahme:
    14 Tage Rückgabe. Käufer zahlt Rückversand. Wenn Sie ein eBay-Versandetikett verwenden, werden die Kosten dafür von Ihrer Rückerstattung abgezogen.
    Zahlungen:
         Diners Club

    Sicher einkaufen

    eBay-Käuferschutz
    Geld zurück, wenn etwas mit diesem Artikel nicht stimmt. Mehr erfahreneBay-Käuferschutz - wird in neuem Fenster oder Tab geöffnet
    Der Verkäufer ist für dieses Angebot verantwortlich.
    eBay-Artikelnr.:286788227337

    Artikelmerkmale

    Artikelzustand
    Akzeptabel
    Buch mit deutlichen Gebrauchsspuren. Der Einband kann einige Beschädigungen aufweisen, ist aber in seiner Gesamtheit noch intakt. Die Bindung ist möglicherweise leicht beschädigt, in ihrer Gesamtheit aber noch intakt. In den Randbereichen wurden evtl. Notizen gemacht, der Text kann Unterstreichungen und Markierungen enthalten, es fehlen aber keine Seiten und es ist alles vorhanden, was für die Lesbarkeit oder das Verständnis des Textes notwendig ist. Genauere Einzelheiten sowie eine Beschreibung eventueller Mängel entnehmen Sie bitte dem Angebot des Verkäufers. Alle Zustandsdefinitionen ansehenwird in neuem Fenster oder Tab geöffnet
    Hinweise des Verkäufers
    “white stickers on front and back covers, likely to cover up mention of being a review ...
    ISBN
    9780201774719
    Kategorie

    Über dieses Produkt

    Product Identifiers

    Publisher
    Pearson Education
    ISBN-10
    0201774712
    ISBN-13
    9780201774719
    eBay Product ID (ePID)
    43559898

    Product Key Features

    Number of Pages
    816 Pages
    Language
    English
    Publication Name
    Course in Probability
    Subject
    Probability & Statistics / General
    Publication Year
    2005
    Type
    Textbook
    Subject Area
    Mathematics
    Author
    Neil Weiss
    Format
    Trade Paperback

    Dimensions

    Item Height
    1.9 in
    Item Weight
    56 Oz
    Item Length
    9.4 in
    Item Width
    7.7 in

    Additional Product Features

    Intended Audience
    College Audience
    LCCN
    2004-051068
    Dewey Edition
    22
    TitleLeading
    A
    Illustrated
    Yes
    Dewey Decimal
    519.2
    Table Of Content
    ( Chapter Opener and Review appear in each chapter ). I. FUNDAMENTALS OF PROBABILITY. 1. Probability Basics. Biography: Girolamo Cardano. From Percentages to Probabilities. Set Theory. 2. Mathematical Probability. Biography: Andrei Kolmogorov. Sample Space and Events. Axioms of Probability. Specifying Probabilities. Basic Properties of Probability. 3. Combinatorial Probability. Biography: James Bernoulli. The Basic Counting Rule. Permutations and Combinations. Applications of Counting Rules to Probability. 4. Conditional Probability and Independence. Biography: Thomas Bayes. Conditional Probability. The General Multiplication Rule. Independent Events. Bayes'' Rule. II. DISCRETE RANDOM VARIABLES. 5. Discrete Random Variables and Their Distributions. Biography: Siméon-Dennis Poisson. From Variables to Random Variables. Probability Mass Functions. Binomial Random Variables. Hypergeometric Random Variables. Poisson Random Variables. Geometric Random Variables. Other Important Discrete Random Variables. Functions of a Discrete Random Variable. 6. Jointly Discrete Random Variables. Biography: Blaise Pascal. Joint and Marginal Probability Mass Functions: Bivariate Case. Joint and Marginal Probability Mass Functions: Multivariate Case. Conditional Probability Mass Functions. Independent Random Variables. Functions of Two or More Discrete Random Variables. Sums of Discrete Random Variables. 7. Expected Value of Discrete Random Variables. Biography: Christiaan Huygens. From Averages to Expected Values. Basic Properties of Expected Value. Variance of Discrete Random Variables. Variance, Covariance, and Correlation. Conditional Expectation. III. CONTINUOUS RANDOM VARIABLES. 8. Continuous Random Variables and Their Distributions. Biography: Carl Friedrich Gauss. Introducing Continuous Random Variables. Cumulative Distribution Functions. Probability Density Functions. Uniform and Exponential Random Variables. Normal Random Variables. Other Important Continuous Random Variables. Functions of a Continuous Random Variable. 9. Jointly Continuous Random Variables. Biography: Pierre de Fermat. Joint Cumulative Distribution Functions. Introducing Joint Probability Density Functions. Basic Properties of Joint Probability Density Functions. Marginal and Conditional Probability Density Functions. Independent Continuous Random Variables. Functions of Two or More Continuous Random Variables. Sums and Quotients of Continuous Random Variables. Multidimensional Transformation Theorem. 10. Expected Value of Continuous Random Variables. Biography: Pafnuty Chebyshev. Expected Value of a Continuous Random Variable. Basic Properties of Expected Value. Variance, Covariance, and Correlation. Conditional Expectation. The Bivariate Normal Distribution. IV. LIMIT THEOREMS AND ADVANCED TOPICS. 11. Generating Functions and Limit Theorems. Biography: William Feller. Moment Generating Functions. Joint Moment Generating Functions. Laws of Large Numbers. The Central Limit Theorem. 12. Additional Topics. Biography: Sir Ronald Fisher. The Poisson Process. Basic Queueing Theory. The Multivariate Normal Distribution. Sampling Distributions. Appendices. Index.
    Synopsis
    This text is intended primarily for a first course in mathematical probability for students in mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented students in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable., This text is intended primarily for readers interested in mathematical probability as applied to mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented readers in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable. Fundamentals of Probability: Probability Basics. Mathematical Probability. Combinatorial Probability. Conditional Probability and Independence. Discrete Random Variables: Discrete Random Variables and Their Distributions. Jointly Discrete Random Variables. Expected Value of Discrete Random Variables. Continuous Random Variables: Continuous Random Variables and Their Distributions. Jointly Continuous Random Variables. Expected Value of Continuous Random Variables. Limit Theorems and Advanced Topics: Generating Functions and Limit Theorems. Additional Topics. For all readers interested in probability., This text is intended primarily for readers interested in mathematical probability as applied to mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented readers in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable. KEY TOPICS: Fundamentals of Probability: Probability Basics. Mathematical Probability. Combinatorial Probability. Conditional Probability and Independence. Discrete Random Variables: Discrete Random Variables and Their Distributions. Jointly Discrete Random Variables. Expected Value of Discrete Random Variables. Continuous Random Variables: Continuous Random Variables and Their Distributions. Jointly Continuous Random Variables. Expected Value of Continuous Random Variables. Limit Theorems and Advanced Topics: Generating Functions and Limit Theorems. Additional Topics. MARKET: For all readers interested in probability.
    LC Classification Number
    QA273.W425 2005

    Artikelbeschreibung des Verkäufers

    Info zu diesem Verkäufer

    ozarkjoe

    100% positive Bewertungen•5.6 Tsd. Artikel verkauft

    Mitglied seit Mär 2003
    Antwortet meist innerhalb 24 Stunden
    Angemeldet als privater VerkäuferDaher finden verbraucherschützende Vorschriften, die sich aus dem EU-Verbraucherrecht ergeben, keine Anwendung. Der eBay-Käuferschutz gilt dennoch für die meisten Käufe.
    I mostly offer books for sale here. I have plenty of others not listed here so feel free to inquire about others you may be interested in. Areas of interest include history, physics, mathematics, art ...
    Mehr anzeigen
    Shop besuchenKontakt

    Detaillierte Verkäuferbewertungen

    Durchschnitt in den letzten 12 Monaten
    Genaue Beschreibung
    5.0
    Angemessene Versandkosten
    4.9
    Lieferzeit
    5.0
    Kommunikation
    5.0

    Verkäuferbewertungen (2'255)

    Alle Bewertungenselected
    Positiv
    Neutral
    Negativ
    • 2***k (52)- Bewertung vom Käufer.
      Letzte 6 Monate
      Bestätigter Kauf
      The books were exactly as described and were well packaged. They were a good value compared to other sellers. Shipping was very quick. Would definitely buy from this seller again.
      1974 Story Library Of The Saints Volumes I & III by Joan Windham HB (Nr. 277207228554)
    • h***t (401)- Bewertung vom Käufer.
      Letzte 6 Monate
      Bestätigter Kauf
      fast shipping, item as described, well packaged -- highly recommended seller!
      ESSENTIAL WRITINGS ON RACE By Samuel T. Francis PB (Nr. 275510907276)
    • 5***p (435)- Bewertung vom Käufer.
      Letzter Monat
      Bestätigter Kauf
      Nice old elementary school reader with lovely illustrations. A page back in time indeed. Fast ship, nicely packaged, as described, value was fine. Thanks!
      The Elson Readers: Book Two; HC 1920; grammar school text (Nr. 286225375821)
    Alle Bewertungen ansehen

    Noch mehr entdecken: