Probability Foundations for Engineers
This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engi...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | 1 |
| creator | Nachlas, Joel A. |
| description | This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications.
Probability Foundations for Engineers, Second Edition, continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables.
Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions. |
| doi_str_mv | 10.1201/9781003294382 |
| format | Book |
| fullrecord | <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9781000856026</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC7184220</sourcerecordid><originalsourceid>FETCH-LOGICAL-a7539-80b0541aa63b0e4999ed2ea0a888ba1d8c91ace1f7df43cbcda8e36d834ddafd3</originalsourceid><addsrcrecordid>eNqNkb1PwzAQxY0QCCgd2bsg1KFw_ohjj1ClgFQJBpijS-xAaLDBTlv1vyeQDnSrdNLpSb93p3tHyAWFa8qA3uhUUQDOtOCKHZDhjj7cas5YqhKQx-SMcqllyro6IcMYPwCApVJw0Kfk8jn4Aou6qdvNaOaXzmBbexdHlQ-jzL3VztoQz8lRhU20w20fkNdZ9jJ9mMyf7h-nt_MJpgnXEwUFJIIiSl6AFVpra5hFQKVUgdSoUlMsLa1SUwleFqVBZbk0igtjsDJ8QMb9XIwLu47vvmljvmps4f0i5v2doBIJTO7LJlqIjr3q2a_gv5c2tvkfVlrXBmzy7G6aUiUYg44UPVm7LoFPXPvQmLzFTeNDFdCVdfy_YBt6Z8v2s1HIf3-4a89XXcZd6oz_AHDTjNw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC7184220</pqid></control><display><type>book</type><title>Probability Foundations for Engineers</title><source>Ebook Central Perpetual and DDA</source><creator>Nachlas, Joel A.</creator><creatorcontrib>Nachlas, Joel A.</creatorcontrib><description>This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications.
Probability Foundations for Engineers, Second Edition, continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables.
Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions.</description><edition>Second edition</edition><identifier>ISBN: 9781032278506</identifier><identifier>ISBN: 1032278501</identifier><identifier>ISBN: 9781032278483</identifier><identifier>ISBN: 103227848X</identifier><identifier>EISBN: 9781003294382</identifier><identifier>EISBN: 9781000855944</identifier><identifier>EISBN: 1000855945</identifier><identifier>EISBN: 1003294383</identifier><identifier>EISBN: 9781000856026</identifier><identifier>EISBN: 100085602X</identifier><identifier>DOI: 10.1201/9781003294382</identifier><identifier>OCLC: 1369672672</identifier><language>eng</language><publisher>Milton: CRC Press</publisher><subject>Approximations and Limiting Behavior ; Discrete Mathematics ; Engineering ; Engineering Mathematics ; Engineering-Statistical methods ; ENGnetBASE ; Industrial Engineering & Manufacturing ; INDUSTRIALENGINEERINGnetBASE ; Joint, Marginal, and Conditional Distributions ; Mathematics & Statistics for Engineers ; MATHnetBASE ; Moment-Generating Functions ; Operations Research ; Probabilities ; Probability ; Probability Basics ; Probability Theory & Applications ; Random Variables and Distributions ; SCI-TECHnetBASE ; Set Theory ; Statistics & Probability ; STATSnetBASE ; STMnetBASE</subject><creationdate>2022</creationdate><tpages>172</tpages><tpages>14</tpages><tpages>186</tpages><format>172</format><rights>2023 Joel A. Nachlas</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,780,784,786,27924</link.rule.ids></links><search><creatorcontrib>Nachlas, Joel A.</creatorcontrib><title>Probability Foundations for Engineers</title><description>This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications.
Probability Foundations for Engineers, Second Edition, continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables.
Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions.</description><subject>Approximations and Limiting Behavior</subject><subject>Discrete Mathematics</subject><subject>Engineering</subject><subject>Engineering Mathematics</subject><subject>Engineering-Statistical methods</subject><subject>ENGnetBASE</subject><subject>Industrial Engineering & Manufacturing</subject><subject>INDUSTRIALENGINEERINGnetBASE</subject><subject>Joint, Marginal, and Conditional Distributions</subject><subject>Mathematics & Statistics for Engineers</subject><subject>MATHnetBASE</subject><subject>Moment-Generating Functions</subject><subject>Operations Research</subject><subject>Probabilities</subject><subject>Probability</subject><subject>Probability Basics</subject><subject>Probability Theory & Applications</subject><subject>Random Variables and Distributions</subject><subject>SCI-TECHnetBASE</subject><subject>Set Theory</subject><subject>Statistics & Probability</subject><subject>STATSnetBASE</subject><subject>STMnetBASE</subject><isbn>9781032278506</isbn><isbn>1032278501</isbn><isbn>9781032278483</isbn><isbn>103227848X</isbn><isbn>9781003294382</isbn><isbn>9781000855944</isbn><isbn>1000855945</isbn><isbn>1003294383</isbn><isbn>9781000856026</isbn><isbn>100085602X</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNqNkb1PwzAQxY0QCCgd2bsg1KFw_ohjj1ClgFQJBpijS-xAaLDBTlv1vyeQDnSrdNLpSb93p3tHyAWFa8qA3uhUUQDOtOCKHZDhjj7cas5YqhKQx-SMcqllyro6IcMYPwCApVJw0Kfk8jn4Aou6qdvNaOaXzmBbexdHlQ-jzL3VztoQz8lRhU20w20fkNdZ9jJ9mMyf7h-nt_MJpgnXEwUFJIIiSl6AFVpra5hFQKVUgdSoUlMsLa1SUwleFqVBZbk0igtjsDJ8QMb9XIwLu47vvmljvmps4f0i5v2doBIJTO7LJlqIjr3q2a_gv5c2tvkfVlrXBmzy7G6aUiUYg44UPVm7LoFPXPvQmLzFTeNDFdCVdfy_YBt6Z8v2s1HIf3-4a89XXcZd6oz_AHDTjNw</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Nachlas, Joel A.</creator><general>CRC Press</general><general>Taylor & Francis Group</general><scope/></search><sort><creationdate>2022</creationdate><title>Probability Foundations for Engineers</title><author>Nachlas, Joel A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a7539-80b0541aa63b0e4999ed2ea0a888ba1d8c91ace1f7df43cbcda8e36d834ddafd3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Approximations and Limiting Behavior</topic><topic>Discrete Mathematics</topic><topic>Engineering</topic><topic>Engineering Mathematics</topic><topic>Engineering-Statistical methods</topic><topic>ENGnetBASE</topic><topic>Industrial Engineering & Manufacturing</topic><topic>INDUSTRIALENGINEERINGnetBASE</topic><topic>Joint, Marginal, and Conditional Distributions</topic><topic>Mathematics & Statistics for Engineers</topic><topic>MATHnetBASE</topic><topic>Moment-Generating Functions</topic><topic>Operations Research</topic><topic>Probabilities</topic><topic>Probability</topic><topic>Probability Basics</topic><topic>Probability Theory & Applications</topic><topic>Random Variables and Distributions</topic><topic>SCI-TECHnetBASE</topic><topic>Set Theory</topic><topic>Statistics & Probability</topic><topic>STATSnetBASE</topic><topic>STMnetBASE</topic><toplevel>online_resources</toplevel><creatorcontrib>Nachlas, Joel A.</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nachlas, Joel A.</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Probability Foundations for Engineers</btitle><date>2022</date><risdate>2022</risdate><volume>1</volume><isbn>9781032278506</isbn><isbn>1032278501</isbn><isbn>9781032278483</isbn><isbn>103227848X</isbn><eisbn>9781003294382</eisbn><eisbn>9781000855944</eisbn><eisbn>1000855945</eisbn><eisbn>1003294383</eisbn><eisbn>9781000856026</eisbn><eisbn>100085602X</eisbn><abstract>This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering and operations management students. The book offers theory in an accessible manner and includes numerous practical examples based on engineering applications.
Probability Foundations for Engineers, Second Edition, continues to focus specifically on probability rather than probability and statistics. It offers a conversational presentation rather than a theorem or proof and includes examples based on engineering applications as it highlights Excel computations. This new edition presents a review of set theory and updates all descriptions, such as events versus outcomes, so that they are more understandable. Additional new material includes distributions such as beta and lognormal, a section on counting principles for defining probabilities, a section on mixture distributions and a pair of distribution summary tables.
Intended for undergraduate engineering students, this new edition textbook offers a foundational knowledge of probability. It is also useful to engineers already in the field who want to learn more about probability concepts. An updated solutions manual is available for qualified textbook adoptions.</abstract><cop>Milton</cop><pub>CRC Press</pub><doi>10.1201/9781003294382</doi><oclcid>1369672672</oclcid><tpages>172</tpages><tpages>14</tpages><tpages>186</tpages><edition>Second edition</edition></addata></record> |
| fulltext | fulltext |
| identifier | ISBN: 9781032278506 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_askewsholts_vlebooks_9781000856026 |
| source | Ebook Central Perpetual and DDA |
| subjects | Approximations and Limiting Behavior Discrete Mathematics Engineering Engineering Mathematics Engineering-Statistical methods ENGnetBASE Industrial Engineering & Manufacturing INDUSTRIALENGINEERINGnetBASE Joint, Marginal, and Conditional Distributions Mathematics & Statistics for Engineers MATHnetBASE Moment-Generating Functions Operations Research Probabilities Probability Probability Basics Probability Theory & Applications Random Variables and Distributions SCI-TECHnetBASE Set Theory Statistics & Probability STATSnetBASE STMnetBASE |
| title | Probability Foundations for Engineers |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T20%3A32%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Probability%20Foundations%20for%20Engineers&rft.au=Nachlas,%20Joel%20A.&rft.date=2022&rft.volume=1&rft.isbn=9781032278506&rft.isbn_list=1032278501&rft.isbn_list=9781032278483&rft.isbn_list=103227848X&rft_id=info:doi/10.1201/9781003294382&rft_dat=%3Cproquest_askew%3EEBC7184220%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781003294382&rft.eisbn_list=9781000855944&rft.eisbn_list=1000855945&rft.eisbn_list=1003294383&rft.eisbn_list=9781000856026&rft.eisbn_list=100085602X&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC7184220&rft_id=info:pmid/&rfr_iscdi=true |