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ROOT
6.06/09
Reference Guide
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Public Member Functions | |
TRolke (Double_t CL=0.9, Option_t *option="") | |
virtual | ~TRolke () |
Double_t | GetCL () const |
void | SetCL (Double_t CL) |
void | SetCLSigmas (Double_t CLsigmas) |
void | SetPoissonBkgBinomEff (Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m) |
void | SetPoissonBkgGaussEff (Int_t x, Int_t y, Double_t em, Double_t tau, Double_t sde) |
void | SetGaussBkgGaussEff (Int_t x, Double_t bm, Double_t em, Double_t sde, Double_t sdb) |
void | SetPoissonBkgKnownEff (Int_t x, Int_t y, Double_t tau, Double_t e) |
void | SetGaussBkgKnownEff (Int_t x, Double_t bm, Double_t sdb, Double_t e) |
void | SetKnownBkgBinomEff (Int_t x, Int_t z, Int_t m, Double_t b) |
void | SetKnownBkgGaussEff (Int_t x, Double_t em, Double_t sde, Double_t b) |
Double_t | CalculateInterval (Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m) |
bool | GetLimits (Double_t &low, Double_t &high) |
Double_t | GetUpperLimit () |
Double_t | GetLowerLimit () |
bool | GetSensitivity (Double_t &low, Double_t &high, Double_t pPrecision=0.00001) |
bool | GetLimitsQuantile (Double_t &low, Double_t &high, Int_t &out_x, Double_t integral=0.5) |
bool | GetLimitsML (Double_t &low, Double_t &high, Int_t &out_x) |
bool | GetCriticalNumber (Int_t &ncrit, Int_t maxtry=-1) |
bool | GetBounding () const |
void | SetBounding (const bool bnd) |
void | SetSwitch (bool bnd) |
void | Print (Option_t *) const |
This method must be overridden when a class wants to print itself. More... | |
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TObject () | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. More... | |
virtual | ~TObject () |
TObject destructor. More... | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. More... | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. More... | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. More... | |
virtual void | Clear (Option_t *="") |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. More... | |
virtual Int_t | Compare (const TObject *obj) const |
Compare abstract method. More... | |
virtual void | Copy (TObject &object) const |
Copy this to obj. More... | |
virtual void | Delete (Option_t *option="") |
Delete this object. More... | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. More... | |
virtual void | Draw (Option_t *option="") |
Default Draw method for all objects. More... | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. More... | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current pad. More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
virtual void | Execute (const char *method, const char *params, Int_t *error=0) |
Execute method on this object with the given parameter string, e.g. More... | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=0) |
Execute method on this object with parameters stored in the TObjArray. More... | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). More... | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual const char * | GetName () const |
Returns name of object. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual Option_t * | GetOption () const |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. More... | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". More... | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. More... | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. More... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More... | |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). More... | |
virtual Bool_t | IsSortable () const |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
virtual void | ls (Option_t *option="") const |
The ls function lists the contents of a class on stdout. More... | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. More... | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. More... | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. More... | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. More... | |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. More... | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". More... | |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. More... | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. More... | |
virtual void | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. More... | |
void * | operator new (size_t sz) |
void * | operator new[] (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz, void *vp) |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. More... | |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
void | ResetBit (UInt_t f) |
Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
void | InvertBit (UInt_t f) |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. More... | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More... | |
void | MayNotUse (const char *method) const |
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
Private Member Functions | |
Double_t | Interval (Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m) |
Double_t | Likelihood (Double_t mu, Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m, Int_t what) |
Double_t | EvalLikeMod1 (Double_t mu, Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m, Int_t what) |
Double_t | LikeMod1 (Double_t mu, Double_t b, Double_t e, Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m) |
void | ProfLikeMod1 (Double_t mu, Double_t &b, Double_t &e, Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m) |
Double_t | LikeGradMod1 (Double_t e, Double_t mu, Int_t x, Int_t y, Int_t z, Double_t tau, Int_t m) |
gradient model likelihood More... | |
Double_t | EvalLikeMod2 (Double_t mu, Int_t x, Int_t y, Double_t em, Double_t sde, Double_t tau, Int_t what) |
Calculates the Profile Likelihood for MODEL 2: Poisson background/ Gauss Efficiency what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod2 (Double_t mu, Double_t b, Double_t e, Int_t x, Int_t y, Double_t em, Double_t tau, Double_t v) |
Profile Likelihood function for MODEL 2: Poisson background/Gauss Efficiency. More... | |
Double_t | EvalLikeMod3 (Double_t mu, Int_t x, Double_t bm, Double_t em, Double_t sde, Double_t sdb, Int_t what) |
Calculates the Profile Likelihood for MODEL 3: Gauss background/ Gauss Efficiency what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod3 (Double_t mu, Double_t b, Double_t e, Int_t x, Double_t bm, Double_t em, Double_t u, Double_t v) |
Profile Likelihood function for MODEL 3: Gauss background/Gauss Efficiency. More... | |
Double_t | EvalLikeMod4 (Double_t mu, Int_t x, Int_t y, Double_t tau, Int_t what) |
Calculates the Profile Likelihood for MODEL 4: Poiss background/Efficiency known what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod4 (Double_t mu, Double_t b, Int_t x, Int_t y, Double_t tau) |
Profile Likelihood function for MODEL 4: Poiss background/Efficiency known. More... | |
Double_t | EvalLikeMod5 (Double_t mu, Int_t x, Double_t bm, Double_t sdb, Int_t what) |
Calculates the Profile Likelihood for MODEL 5: Gauss background/Efficiency known what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod5 (Double_t mu, Double_t b, Int_t x, Double_t bm, Double_t u) |
Profile Likelihood function for MODEL 5: Gauss background/Efficiency known. More... | |
Double_t | EvalLikeMod6 (Double_t mu, Int_t x, Int_t z, Double_t b, Int_t m, Int_t what) |
Calculates the Profile Likelihood for MODEL 6: Background known/Efficiency binomial what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod6 (Double_t mu, Double_t b, Double_t e, Int_t x, Int_t z, Int_t m) |
Profile Likelihood function for MODEL 6: background known/ Efficiency binomial. More... | |
Double_t | EvalLikeMod7 (Double_t mu, Int_t x, Double_t em, Double_t sde, Double_t b, Int_t what) |
Calculates the Profile Likelihood for MODEL 7: background known/Efficiency Gauss what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned. More... | |
Double_t | LikeMod7 (Double_t mu, Double_t b, Double_t e, Int_t x, Double_t em, Double_t v) |
Profile Likelihood function for MODEL 6: background known/ Efficiency gaussian. More... | |
Double_t | LogFactorial (Int_t n) |
LogFactorial function (use the logGamma function via the relation Gamma(n+1) = n! More... | |
Double_t | ComputeInterval (Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m) |
void | SetModelParameters (Int_t x, Int_t y, Int_t z, Double_t bm, Double_t em, Double_t e, Int_t mid, Double_t sde, Double_t sdb, Double_t tau, Double_t b, Int_t m) |
void | SetModelParameters () |
Double_t | GetBackground () |
Static Private Member Functions | |
static Double_t | EvalPolynomial (Double_t x, const Int_t coef[], Int_t N) |
evaluate polynomial More... | |
static Double_t | EvalMonomial (Double_t x, const Int_t coef[], Int_t N) |
evaluate mononomial More... | |
Additional Inherited Members | |
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enum | EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) } |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
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static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
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void | MakeZombie () |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
#include <TRolke.h>
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Definition at line 213 of file TRolke.cxx.
Double_t TRolke::CalculateInterval | ( | Int_t | x, |
Int_t | y, | ||
Int_t | z, | ||
Double_t | bm, | ||
Double_t | em, | ||
Double_t | e, | ||
Int_t | mid, | ||
Double_t | sde, | ||
Double_t | sdb, | ||
Double_t | tau, | ||
Double_t | b, | ||
Int_t | m | ||
) |
Definition at line 613 of file TRolke.cxx.
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Definition at line 691 of file TRolke.cxx.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), and GetSensitivity().
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Definition at line 954 of file TRolke.cxx.
Referenced by Likelihood().
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Calculates the Profile Likelihood for MODEL 2: Poisson background/ Gauss Efficiency what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1078 of file TRolke.cxx.
Referenced by Likelihood().
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Calculates the Profile Likelihood for MODEL 3: Gauss background/ Gauss Efficiency what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1145 of file TRolke.cxx.
Referenced by Likelihood().
Calculates the Profile Likelihood for MODEL 4: Poiss background/Efficiency known what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1213 of file TRolke.cxx.
Referenced by Likelihood().
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Calculates the Profile Likelihood for MODEL 5: Gauss background/Efficiency known what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1259 of file TRolke.cxx.
Referenced by Likelihood().
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Calculates the Profile Likelihood for MODEL 6: Background known/Efficiency binomial what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1303 of file TRolke.cxx.
Referenced by Likelihood().
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Calculates the Profile Likelihood for MODEL 7: background known/Efficiency Gauss what = 1: Maximum likelihood estimate is returned what = 2: Profile Likelihood of Maximum Likelihood estimate is returned.
what = 3: Profile Likelihood of Test hypothesis is returned otherwise parameters as described in the beginning of the class)
Definition at line 1362 of file TRolke.cxx.
Referenced by Likelihood().
evaluate mononomial
Definition at line 1426 of file TRolke.cxx.
evaluate polynomial
Definition at line 1409 of file TRolke.cxx.
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Definition at line 419 of file TRolke.cxx.
Referenced by GetCriticalNumber(), GetLimitsML(), GetLimitsQuantile(), and GetSensitivity().
Definition at line 538 of file TRolke.cxx.
Definition at line 381 of file TRolke.cxx.
Referenced by GetLowerLimit(), and GetUpperLimit().
Definition at line 506 of file TRolke.cxx.
bool TRolke::GetLimitsQuantile | ( | Double_t & | low, |
Double_t & | high, | ||
Int_t & | out_x, | ||
Double_t | integral = 0.5 |
||
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Definition at line 474 of file TRolke.cxx.
Definition at line 411 of file TRolke.cxx.
Definition at line 445 of file TRolke.cxx.
Definition at line 403 of file TRolke.cxx.
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Definition at line 732 of file TRolke.cxx.
Referenced by ComputeInterval().
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Definition at line 922 of file TRolke.cxx.
Referenced by Interval().
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Definition at line 995 of file TRolke.cxx.
Referenced by EvalLikeMod1().
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Profile Likelihood function for MODEL 2: Poisson background/Gauss Efficiency.
Definition at line 1123 of file TRolke.cxx.
Referenced by EvalLikeMod2().
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Profile Likelihood function for MODEL 3: Gauss background/Gauss Efficiency.
Definition at line 1191 of file TRolke.cxx.
Referenced by EvalLikeMod3().
Profile Likelihood function for MODEL 4: Poiss background/Efficiency known.
Definition at line 1239 of file TRolke.cxx.
Referenced by EvalLikeMod4().
Profile Likelihood function for MODEL 5: Gauss background/Efficiency known.
Definition at line 1284 of file TRolke.cxx.
Referenced by EvalLikeMod5().
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Profile Likelihood function for MODEL 6: background known/ Efficiency binomial.
Definition at line 1339 of file TRolke.cxx.
Referenced by EvalLikeMod6().
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Profile Likelihood function for MODEL 6: background known/ Efficiency gaussian.
Definition at line 1394 of file TRolke.cxx.
Referenced by EvalLikeMod7().
LogFactorial function (use the logGamma function via the relation Gamma(n+1) = n!
Definition at line 1445 of file TRolke.cxx.
Referenced by LikeMod1(), LikeMod2(), LikeMod3(), LikeMod4(), LikeMod5(), LikeMod6(), and LikeMod7().
This method must be overridden when a class wants to print itself.
Reimplemented from TObject.
Definition at line 584 of file TRolke.cxx.
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Definition at line 1022 of file TRolke.cxx.
Referenced by EvalLikeMod1().
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Definition at line 184 of file TRolke.h.
Referenced by SetSwitch().
Definition at line 265 of file TRolke.cxx.
Definition at line 312 of file TRolke.cxx.
Definition at line 335 of file TRolke.cxx.
Definition at line 358 of file TRolke.cxx.
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Definition at line 654 of file TRolke.cxx.
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Definition at line 683 of file TRolke.cxx.
Referenced by CalculateInterval(), SetGaussBkgGaussEff(), SetGaussBkgKnownEff(), SetKnownBkgBinomEff(), SetKnownBkgGaussEff(), SetPoissonBkgBinomEff(), SetPoissonBkgGaussEff(), and SetPoissonBkgKnownEff().
Definition at line 218 of file TRolke.cxx.
Definition at line 241 of file TRolke.cxx.
Definition at line 289 of file TRolke.cxx.
void TRolke::SetSwitch | ( | bool | bnd | ) |
Definition at line 572 of file TRolke.cxx.
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Definition at line 57 of file TRolke.h.
Referenced by CalculateInterval(), GetBackground(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 50 of file TRolke.h.
Referenced by CalculateInterval(), GetBackground(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 52 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 51 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 58 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 53 of file TRolke.h.
Referenced by CalculateInterval(), GetBackground(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Likelihood(), Print(), and SetModelParameters().
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Definition at line 55 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 54 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 56 of file TRolke.h.
Referenced by CalculateInterval(), GetBackground(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 47 of file TRolke.h.
Referenced by CalculateInterval(), GetLimits(), Print(), and SetModelParameters().
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Definition at line 48 of file TRolke.h.
Referenced by CalculateInterval(), GetBackground(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 49 of file TRolke.h.
Referenced by CalculateInterval(), GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), Print(), and SetModelParameters().
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Definition at line 40 of file TRolke.h.
Referenced by ComputeInterval(), GetBounding(), Interval(), and Print().
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Definition at line 37 of file TRolke.h.
Referenced by GetCL(), Interval(), and Print().
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Definition at line 39 of file TRolke.h.
Referenced by GetCriticalNumber(), GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetLowerLimit(), GetSensitivity(), Interval(), and Print().
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Definition at line 42 of file TRolke.h.
Referenced by SetSwitch().
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Definition at line 43 of file TRolke.h.
Referenced by CalculateInterval().
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Definition at line 38 of file TRolke.h.
Referenced by GetLimits(), GetLimitsML(), GetLimitsQuantile(), GetSensitivity(), GetUpperLimit(), Interval(), and Print().