bruce hajek (35 resultados)

Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 WON 9780387960616 Sprache: Englisch Gewicht in Gramm: 1150.

Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 60 WON 9780387960616 Sprache: Englisch Gewicht in Gramm: 550.

Condición: New. pp. 380 2nd Edition.

Condición: New.

hardcover. Condición: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

hardcover. Condición: VERY GOOD. First Edition. First Edition. 2015. Very good condition. Name stamp inside front and rear endpages. Hardcover binding, clean and bright, solid and square. Very light edge, corner and shelf wear. No rips, tears, or stains. Illustrated. From the personal collection of a professor of Engineering & Computer Science. A rigorous yet accessible engineering textbook introducing random processes and probabilistic methods used in modern system analysis and design. Ships from USA, quickly & with care.

Condición: New. In.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments. Num Pages: 432 pages, 130 b/w illus. 1 table 307 exercises. BIC Classification: PBT; TBJ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 183 x 23. Weight in Grams: 980. . 2015. 1st Edition. Hardcover. . . . .

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. 1st. This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: . Calculus of random processes in linear systems . Kalman and Wiener filtering . Hidden Markov models for statistical inference . The estimation maximization (EM) algorithm . An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).

Hardcover. Condición: new. Hardcover. This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: Calculus of random processes in linear systems Kalman and Wiener filtering Hidden Markov models for statistical inference The estimation maximization (EM) algorithm An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book). An engaging introduction to the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. It includes over 100 worked examples and over 300 end-of-chapter problems, with worked solutions to half provided in the book and the remaining solutions available online for instructors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. pp. 432.

Condición: New. An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments. Num Pages: 432 pages, 130 b/w illus. 1 table 307 exercises. BIC Classification: PBT; TBJ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 255 x 183 x 23. Weight in Grams: 980. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Condición: Sehr gut. 2nd ed. XI, 361 S. Zust: Gutes Exemplar. Schneller Versand und persönlicher Service - jedes Buch händisch geprüft und beschrieben - aus unserem Familienbetrieb seit über 25 Jahren. Eine Rechnung mit ausgewiesener Mehrwertsteuer liegt jeder unserer Lieferungen bei. Wir versenden mit der deutschen Post. Sprache: Englisch Gewicht in Gramm: 690 gebundene Ausgabe gebundene Ausgabe.

Hardcover. Condición: Brand New. 414 pages. 9.75x7.25x1.00 inches. In Stock.

Hardback. Condición: New. 1st. This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: . Calculus of random processes in linear systems . Kalman and Wiener filtering . Hidden Markov models for statistical inference . The estimation maximization (EM) algorithm . An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: ¿ Calculus of random processes in linear systems ¿ Kalman and Wiener filtering ¿ Hidden Markov models for statistical inference ¿ The estimation maximization (EM) algorithm ¿ An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).

Hardcover. Condición: new. Hardcover. This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: Calculus of random processes in linear systems Kalman and Wiener filtering Hidden Markov models for statistical inference The estimation maximization (EM) algorithm An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book). An engaging introduction to the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. It includes over 100 worked examples and over 300 end-of-chapter problems, with worked solutions to half provided in the book and the remaining solutions available online for instructors. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Gr.-8°. XI, 361 S., OPpbd., ausgeschied. Bibl.-Expl.mit den üblichen Kennzeichnungen. ISBN 0387960619 / 3540960619.

Condición: New. pp. 216.

Condición: New. Print on Demand pp. 380 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 380.

Hardcover. Condición: Brand New. 414 pages. 9.75x7.25x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand pp. 432 130 Illus.

Hardcover. Condición: new. Hardcover. This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: Calculus of random processes in linear systems Kalman and Wiener filtering Hidden Markov models for statistical inference The estimation maximization (EM) algorithm An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book). An engaging introduction to the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. It includes over 100 worked examples and over 300 end-of-chapter problems, with worked solutions to half provided in the book and the remaining solutions available online for instructors. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.