The Resource How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard
How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard
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The item How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Jacksonville Public Library.This item is available to borrow from 1 library branch.
Resource Information
The item How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Jacksonville Public Library.
This item is available to borrow from 1 library branch.
 Language
 eng
 Edition
 Third edition.
 Extent
 xxi, 410 pages
 Contents

 Part I. the measurement solution exists : The challenge of intangibles : The alleged intangibles ; Yes, I mean anything ; The proposal: it's about decisions ; A "power tools" approach to measurement ; A guide to the rest of the book
 An intuitive measurement habit: Eratosthenes, Enrico, and Emily : How an ancient Greek measured the size of the earth ; Estimating: be like Fermi ; Experiments: not just for adults ; Notes on what to learn from Eratosthenes, Enrico, and Emily
 The illusion of intangibles: why immeasurables aren't : The concept of measurement ; The object of measurement ; The methods of measurement ; Economic objections to measurement ; The broader objection to the usefulness of "statistics" ; Ethical objections to measurement ; Reversing old assumptions
 Part II. Before you measure : Clarifying the measurement problem : Toward a universal approach to measurement ; The unexpected challenge of defining a decision ; If you understand it, you can model it ; Getting the language right: what "uncertainty" and "risk" really mean ; An example of a clarified decision
 Calibrated estimates: how much do you know now? : Calibration exercise ; Calibration trick: bet money (or even just pretend to) ; Further improvements on calibration ; Conceptual obstacles to calibration ; The effects of calibration training
 Quantifying risk through modeling : How not to quantify risk ; Real risk analysis: the Monte Carlo ; An example of the Monte Carlo method and risk ; Tools and other resources for Monte Carlo simulations ; The risk paradox and the need for better risk analysis
 Quantifying the value of information : The chance of being wrong and the cost of being wrong: expected opportunity loss ; The value of information for ranges ; Beyond yes/no: decisions on a continuum ; The imperfect world: the value of partial uncertainty reduction ; The epiphany equation: how the value of information changes everything ; Summarizing uncertainty, risk, and information value: the premeasurements
 Part III. Measurement methods : The transition: from what to measure to how to measure : Tools of observation: introduction to the instrument of measurement ; Decomposition ; Secondary research: assuming you weren't the first to measure it ; The basic methods of observation: if one doesn't work, try the next ; Measure just enough ; Consider the error ; Choose and design the instrument
 Sampling reality: how observing some things tells us about all things : Building an intuition for ransom sampling: the jelly bean example ; A little about little samples: a beer brewer's approach ; Are small samples really "statistically significant"? ; When outliers matter most ; The easiest sample statistics ever ; A biased sample of sampling methods ; Experiment ; Seeing relationships in the data: an introduction to regression modeling
 Bayes: adding to what you know now : The basics and Bayes ; Using your natural Bayesian instinct ; Heterogeneous benchmarking: a "brand damage" application ; Bayesian inversion for ranges: an overview ; The lessons of Bayes
 Part IV. Beyond the basics : Preference and attitudes: the softer side of measurement : Observing opinions, values, and the pursuit of happiness ; A willingness to pay: measuring value via tradeoffs ; Putting it all on the line: quantifying risk tolerance ; Quantifying subjective tradeoffs: dealing with multiple conflicting preferences ; Keeping the big picture in mind: profit maximization versus purely subjective tradeoffs
 The ultimate measurement instrument: human judges : Homo absurdus: the weird reasons behind our decisions ; Getting organized: a performance evaluation example ; Surprisingly simple linear models ; How to standardize any evaluation: Rasch models ; Removing human inconsistency: the Lens model ; Panacea or placebo?: Questionable methods of measurement ; Comparing the methods ; Example: a scientist measures the performance of a decision model
 New measurement instruments for management : The twentyfirstcentury tracker: keeping tabs with technology ; Measuring the world: the Internet as an instrument ; Prediction markets: a dynamic aggregation of opinions
 A universal measurement method: applied information economics : Bringing the pieces together ; Case: the value of the system that monitors your drinking water ; Case: forecasting fuel for the Marine Corps ; Case: measuring the value of ACORD Standards ; Ideas for getting started: a few final examples ; Summarizing the philosophy
 Appendix: Calibration tests (and their answers)
 Isbn
 9781118539279
 Label
 How to measure anything : finding the value of intangibles in business
 Title
 How to measure anything
 Title remainder
 finding the value of intangibles in business
 Statement of responsibility
 Douglas W. Hubbard
 Language
 eng
 Cataloging source
 DLC
 http://library.link/vocab/creatorDate
 1962
 http://library.link/vocab/creatorName
 Hubbard, Douglas W.
 Dewey number
 657/.7
 Illustrations
 illustrations
 Index
 index present
 LC call number
 HF5681.I55
 LC item number
 H83 2014
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/subjectName
 Intangible property
 Label
 How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard
 Link
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Part I. the measurement solution exists : The challenge of intangibles : The alleged intangibles ; Yes, I mean anything ; The proposal: it's about decisions ; A "power tools" approach to measurement ; A guide to the rest of the book  An intuitive measurement habit: Eratosthenes, Enrico, and Emily : How an ancient Greek measured the size of the earth ; Estimating: be like Fermi ; Experiments: not just for adults ; Notes on what to learn from Eratosthenes, Enrico, and Emily  The illusion of intangibles: why immeasurables aren't : The concept of measurement ; The object of measurement ; The methods of measurement ; Economic objections to measurement ; The broader objection to the usefulness of "statistics" ; Ethical objections to measurement ; Reversing old assumptions  Part II. Before you measure : Clarifying the measurement problem : Toward a universal approach to measurement ; The unexpected challenge of defining a decision ; If you understand it, you can model it ; Getting the language right: what "uncertainty" and "risk" really mean ; An example of a clarified decision  Calibrated estimates: how much do you know now? : Calibration exercise ; Calibration trick: bet money (or even just pretend to) ; Further improvements on calibration ; Conceptual obstacles to calibration ; The effects of calibration training  Quantifying risk through modeling : How not to quantify risk ; Real risk analysis: the Monte Carlo ; An example of the Monte Carlo method and risk ; Tools and other resources for Monte Carlo simulations ; The risk paradox and the need for better risk analysis  Quantifying the value of information : The chance of being wrong and the cost of being wrong: expected opportunity loss ; The value of information for ranges ; Beyond yes/no: decisions on a continuum ; The imperfect world: the value of partial uncertainty reduction ; The epiphany equation: how the value of information changes everything ; Summarizing uncertainty, risk, and information value: the premeasurements  Part III. Measurement methods : The transition: from what to measure to how to measure : Tools of observation: introduction to the instrument of measurement ; Decomposition ; Secondary research: assuming you weren't the first to measure it ; The basic methods of observation: if one doesn't work, try the next ; Measure just enough ; Consider the error ; Choose and design the instrument  Sampling reality: how observing some things tells us about all things : Building an intuition for ransom sampling: the jelly bean example ; A little about little samples: a beer brewer's approach ; Are small samples really "statistically significant"? ; When outliers matter most ; The easiest sample statistics ever ; A biased sample of sampling methods ; Experiment ; Seeing relationships in the data: an introduction to regression modeling  Bayes: adding to what you know now : The basics and Bayes ; Using your natural Bayesian instinct ; Heterogeneous benchmarking: a "brand damage" application ; Bayesian inversion for ranges: an overview ; The lessons of Bayes  Part IV. Beyond the basics : Preference and attitudes: the softer side of measurement : Observing opinions, values, and the pursuit of happiness ; A willingness to pay: measuring value via tradeoffs ; Putting it all on the line: quantifying risk tolerance ; Quantifying subjective tradeoffs: dealing with multiple conflicting preferences ; Keeping the big picture in mind: profit maximization versus purely subjective tradeoffs  The ultimate measurement instrument: human judges : Homo absurdus: the weird reasons behind our decisions ; Getting organized: a performance evaluation example ; Surprisingly simple linear models ; How to standardize any evaluation: Rasch models ; Removing human inconsistency: the Lens model ; Panacea or placebo?: Questionable methods of measurement ; Comparing the methods ; Example: a scientist measures the performance of a decision model  New measurement instruments for management : The twentyfirstcentury tracker: keeping tabs with technology ; Measuring the world: the Internet as an instrument ; Prediction markets: a dynamic aggregation of opinions  A universal measurement method: applied information economics : Bringing the pieces together ; Case: the value of the system that monitors your drinking water ; Case: forecasting fuel for the Marine Corps ; Case: measuring the value of ACORD Standards ; Ideas for getting started: a few final examples ; Summarizing the philosophy  Appendix: Calibration tests (and their answers)
 Control code
 ocn863801712
 Dimensions
 24 cm
 Edition
 Third edition.
 Extent
 xxi, 410 pages
 Isbn
 9781118539279
 Lccn
 2013044540
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number

 1229049
 (Sirsi) o863801712
 (OCoLC)863801712
 Label
 How to measure anything : finding the value of intangibles in business, Douglas W. Hubbard
 Link
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Part I. the measurement solution exists : The challenge of intangibles : The alleged intangibles ; Yes, I mean anything ; The proposal: it's about decisions ; A "power tools" approach to measurement ; A guide to the rest of the book  An intuitive measurement habit: Eratosthenes, Enrico, and Emily : How an ancient Greek measured the size of the earth ; Estimating: be like Fermi ; Experiments: not just for adults ; Notes on what to learn from Eratosthenes, Enrico, and Emily  The illusion of intangibles: why immeasurables aren't : The concept of measurement ; The object of measurement ; The methods of measurement ; Economic objections to measurement ; The broader objection to the usefulness of "statistics" ; Ethical objections to measurement ; Reversing old assumptions  Part II. Before you measure : Clarifying the measurement problem : Toward a universal approach to measurement ; The unexpected challenge of defining a decision ; If you understand it, you can model it ; Getting the language right: what "uncertainty" and "risk" really mean ; An example of a clarified decision  Calibrated estimates: how much do you know now? : Calibration exercise ; Calibration trick: bet money (or even just pretend to) ; Further improvements on calibration ; Conceptual obstacles to calibration ; The effects of calibration training  Quantifying risk through modeling : How not to quantify risk ; Real risk analysis: the Monte Carlo ; An example of the Monte Carlo method and risk ; Tools and other resources for Monte Carlo simulations ; The risk paradox and the need for better risk analysis  Quantifying the value of information : The chance of being wrong and the cost of being wrong: expected opportunity loss ; The value of information for ranges ; Beyond yes/no: decisions on a continuum ; The imperfect world: the value of partial uncertainty reduction ; The epiphany equation: how the value of information changes everything ; Summarizing uncertainty, risk, and information value: the premeasurements  Part III. Measurement methods : The transition: from what to measure to how to measure : Tools of observation: introduction to the instrument of measurement ; Decomposition ; Secondary research: assuming you weren't the first to measure it ; The basic methods of observation: if one doesn't work, try the next ; Measure just enough ; Consider the error ; Choose and design the instrument  Sampling reality: how observing some things tells us about all things : Building an intuition for ransom sampling: the jelly bean example ; A little about little samples: a beer brewer's approach ; Are small samples really "statistically significant"? ; When outliers matter most ; The easiest sample statistics ever ; A biased sample of sampling methods ; Experiment ; Seeing relationships in the data: an introduction to regression modeling  Bayes: adding to what you know now : The basics and Bayes ; Using your natural Bayesian instinct ; Heterogeneous benchmarking: a "brand damage" application ; Bayesian inversion for ranges: an overview ; The lessons of Bayes  Part IV. Beyond the basics : Preference and attitudes: the softer side of measurement : Observing opinions, values, and the pursuit of happiness ; A willingness to pay: measuring value via tradeoffs ; Putting it all on the line: quantifying risk tolerance ; Quantifying subjective tradeoffs: dealing with multiple conflicting preferences ; Keeping the big picture in mind: profit maximization versus purely subjective tradeoffs  The ultimate measurement instrument: human judges : Homo absurdus: the weird reasons behind our decisions ; Getting organized: a performance evaluation example ; Surprisingly simple linear models ; How to standardize any evaluation: Rasch models ; Removing human inconsistency: the Lens model ; Panacea or placebo?: Questionable methods of measurement ; Comparing the methods ; Example: a scientist measures the performance of a decision model  New measurement instruments for management : The twentyfirstcentury tracker: keeping tabs with technology ; Measuring the world: the Internet as an instrument ; Prediction markets: a dynamic aggregation of opinions  A universal measurement method: applied information economics : Bringing the pieces together ; Case: the value of the system that monitors your drinking water ; Case: forecasting fuel for the Marine Corps ; Case: measuring the value of ACORD Standards ; Ideas for getting started: a few final examples ; Summarizing the philosophy  Appendix: Calibration tests (and their answers)
 Control code
 ocn863801712
 Dimensions
 24 cm
 Edition
 Third edition.
 Extent
 xxi, 410 pages
 Isbn
 9781118539279
 Lccn
 2013044540
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number

 1229049
 (Sirsi) o863801712
 (OCoLC)863801712
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